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Professor Gina Rippon signs a copy of The Lost Girls of Autism for talk attendee Dr Georgie Agar Professor Gina Rippon’s new book, The Lost Girls of Autism, investigates why autism was thought to be a male condition for so long She gave a public talk at Aston University on 6 May 2025 exploring the central themes of the book Women and girls with autism have long been overlooked as they are better at masking and camouflaging so ‘fail’ standard tests. Autism in women and girls has been overlooked for decades, and Gina Rippon, professor emeritus of cognitive neuroimaging at Aston University Institute of Health and Neurodevelopment (IHN), has given a talk about her new book on the topic at Aston University. The book, The Lost Girls of Autism, was released on 3 April 2025, coinciding with Autism Acceptance Month, with the subtitle ‘How Science Failed Autistic Women and the New Research that’s Changing the Story’. Autism is characterised by a number of now well-known traits, including social awkwardness, extreme obsessions, and unusual movements and coping mechanisms known as ‘stimming’. It was (allegedly) first described in the 1940s separately by Austrian psychiatrists Leo Kanner and Hans Asperger. Originally identified as a rare developmental condition, since the 1980s, there has been an 800% increase in diagnoses, leading to concerns about an ‘autism epidemic’. There is a strong and enduring belief that it is a condition much more prevalent in males. Professor Rippon described her research as “looking at how brains get to be different and what that means for the owners of those brains”. This includes looking at the functions of different areas of the brain using scanners. During research into a number of brain conditions and diseases with obvious differences between the sexes, including how the disease progresses, such as Alzheimer’s in women, or prevalence in one particular sex, such as Parkinson’s in men, Professor Rippon also became interested in autism, also assumed to be largely a condition in males. However, during a research review, she found that many autism studies made no reference to sex differences. Amalgamated data from autism studies found that 80% of participants were male, and 25% of testing centres only tested males with autism. By only looking at males, Professor Rippon explained, the notion that autism is a male disorder became self-fulfilling. This does not just refer to scientific research. Even now, boys are ten times more likely to be referred for assessment for autism and twice as likely to be diagnosed than girls, even when they have exactly the same traits. 80% of autistic females have received multiple wrong diagnoses, including borderline personality disorder, social anxiety or obsessive-compulsive disorder (OCD). But why? The reason is the unchallenged belief that ‘autism is a “boy” thing’ causing a male spotlight problem in all aspects of the autism story. It could also be that females with autism express the condition differently. Professor Rippon said: “This took me back to [my previous book] The Gendered Brain when I was looking at the very clear view of what males should be like and what females should be like. If you look at the autistic population you have this clear idea that males are like this, but females, er, not so much? Females have poor social skills, but not as poor, or obsessive interests, but not as obsessive, so the trouble with females, is that they are not autistic enough.” The gold standard tests for autism are the Autism Diagnostic Observation Schedule (ADOS) and the Autism Diagnostic Interview (ADI) tests. Professor Rippon believes these are heavily biased towards how the condition manifests itself in males, such as social awkwardness or extreme obsessions. For example, parents may well be asked if their son has an unusual interest in weather patterns or train timetables, but they are not asked if their daughter has an unusual interest in Barbie dolls, because dolls are seen as socially acceptable. Research has shown that females with autism are more likely to ‘camouflage’ their symptoms, watching how ‘normal people’ behave, even practising social interactions, so they appear more normal. They are also more likely to ‘mask’ symptoms behind a persona, such as the ‘class clown’ or ‘star athlete’, in an effort to fit in. Autistic females describe this behaviour as a ‘survival strategy’ to avoid being spotted as different. It is also the case that girls are more likely to have sensory processing problems, such as aversion to strong smells, which can be enough to affect their day-to-day lives. This has only recently been added to the diagnostic criteria for autism. If the camouflaging or masking collapses, rates of other conditions such as disordered eating or anorexia, self-harm and gender dysphoria are disproportionately high, and it is these which will become identified as the underlying difficulty, rather than autism itself. Professor Rippon said: “The next stage should be asking why this group of individuals persists in hiding their autism, especially when autism has been defined as a lack of interest in social connection. There’s what I call the ‘born to be mild’ effect, where little girls are trained to socialise more, to behave, not to make a fuss, if you feel uncomfortable, don’t tell anyone else about it. There’s a lovely comment from one late-diagnosed female who rues the fact that she was so well behaved and wishes that she had just burned more cars so that someone would have spotted her carefully camouflaged distress!” The final slide in the presentation covered what Professor Rippon called “an ironic footnote”. While Leo Kanner and Hans Asperger are described as the fathers of autism, writing in the 1940s, it was in fact a Soviet female psychiatrist, Grunya Sukhareva, writing in the 1920s, who first described autism, even clearly examining the differences in the condition between boys and girls. Why her research was ignored for so long is unclear, but the male spotlight problem may well have been avoided. For more information about The Lost Girls of Autism, visit https://www.panmacmillan.com/authors/gina-rippon/the-lost-girls-of-autism/9781035011629.
The Lost Girls of Autism is published on 3 April 2025, coinciding with Autism Awareness Month in April In the book, Professor Rippon explores the ‘male’ history of autism, and why autism in women has been misunderstood and ignored Professor Rippon will give a free public lecture on the book at Aston University on 6 May 2025. Gina Rippon, professor emeritus of cognitive neuroimaging at Aston University Institute of Health and Neurodevelopment (IHN), has written a new book, entitled The Lost Girls of Autism. The book will be released on 3 April 2025, coinciding with Autism Acceptance Month in April. It has the subtitle ‘How Science Failed Autistic Women and the New Research that’s Changing the Story’. Historically, doctors believed that autism was a male condition, and simply did not look for it in girls and women. This has meant that autistic girls visiting a doctor have been misdiagnosed with anxiety, depression or personality disorders, or are missed altogether. Many women only discover they have the condition when they are much older, missing decades of support. In more recent years, it has become apparent that girls and women with autism have different traits and behaviours to boys and men, and are more likely to hide autistic traits to fit in – known as camouflaging. In The Lost Girls of Autism, Professor Rippon explores the emerging science of female autism, and examines why it has been systematically ignored and misunderstood for so long. Professor Rippon will give a free public lecture about her book on Tuesday 6 May 2025 at 18:00 BST at Aston Business School. Visit https://www.eventbrite.co.uk/e/the-lost-girls-of-autism-an-audience-with-author-gina-rippon-tickets-1304020734119 for more information and tickets. Copies of the book will be on sale at the event. Professor Rippon said: “This book reveals how a ‘male spotlight’ problem has biased many aspects of the autism story, from what autism is, to how we recognise it, and even how brain imagers like me search for answers. It shows how and why autistic women have been unrecognised, overlooked and unsupported. It shines a new light on how the story is changing and how we are now beginning to recognise the full spectrum of the autistic experience. It is for anyone with an interest in autism in all its presentations.”
Villanova Professor Releases Study on Gender Dynamics in the Beer-Drinking Community
Earlier this month, thousands of revelers donned dirndls and lederhosen to mark Oktoberfest, the annual celebration of Bavarian fare, oompah music and, above all else, beer. The fall festival is just one of many occasions, including happy hours, brewery tours and sporting events, where Americans enjoy the beverage. In fact, based on a recent report by the Pew Research Center, the U.S. population consumes approximately 6.6 billion gallons of beer each year, which averages out to about 26.5 gallons per adult of legal drinking age. However, while ales, lagers and stouts remain popular choices that bring people together, not everyone feels equally included. A new study by Shelly Rathee, PhD, the Diana and James Yacobucci '73 Assistant Professor of Marketing and Business Law, highlights a gender-based divide within the beer-drinking community, with female consumers often feeling overlooked and left out. "Due to the structure of the beer industry and marketplace, there is reason to believe that firms overproduce products that appeal to male audiences and overly communicate masculine aspects of beer consumption," says Dr. Rathee. "As a result, female consumers are made to feel (and may continue to feel) excluded by beer culture, on average. From a business standpoint, the beer industry may be limiting its total market potential in the process." As Dr. Rathee explains, the beer industry and marketplace are predominately populated by men, and academic literature has long indicated that male dominance in a social or business setting can alter the behaviors of women in myriad ways. In her project, "The Female Consumer Response Implications of Male Dominance in a Product’s Online Community," the professor sought to understand how this trend might manifest itself in an internet forum for beer aficionados, hobbyists and critics. By examining customer review data from the online community BeerAdvocate and conducting tests aimed at assessing gender-based differences in contributions, Dr. Rathee found that female consumers are inclined to defer to the male majority in such settings. In general, women either refrain from sharing their perspectives on products or adopt language characterized by what are commonly referred to as "masculinity themes." "Masculinity and femininity themes were drawn from the text of the online reviews and were identified using dictionaries derived from previous research on these topics," shares Dr. Rathee. "For example, if the consumer liked the taste of the beer, a more feminine way of describing this might be 'pleasant,' while a more masculine way might be 'strong.'" In these terms, the difference in expression might seem subtle. However, as Dr. Rathee contends, the prevalence of tens of thousands of reviews that lean toward a more masculine tone, with few offering a counterbalance, can have noticeable effects. A quick look at the beer aisle in your local supermarket reveals its impact, with bottles and cans featuring images of axe-wielding warriors, dinosaurs and gargoyles. "We found in our research that male dominance in a marketplace leads to lower trial intentions [plans to try or buy something] and brand attitudes among women," elaborates Dr. Rathee. "Therefore, we can argue that companies are likely to produce products, and marketing appeals, that are more targeted at male audiences." Although men are currently more than twice as likely as women to name beer as their preferred alcoholic beverage, Dr. Rathee suggests that there is potential to create opportunities that encourage more female drinkers to engage with beer culture. By fostering environments where women can express their preferences and perspectives, she believes the beer industry can become more inclusive and representative, ultimately enriching the community as a whole. "When featuring reviews on websites, an effort to balance out the presentation of ideas from male and female voices could be helpful," Dr. Rathee says. "Special categories could also be created to drive interest based on demographic characteristics that may include gender, among other factors. A more extreme measure would be to simply avoid including gender as a reviewer characteristic that is publicly viewable." Much like opening tents beside a beer hall, these steps could provide the necessary space and conditions for a more open and robust discussion of products to take place—to the benefit of both consumers and the industry. In the event they're increasingly pursued, that's something to which we can all raise a toast.
You’ve probably heard of – or experienced for yourself – that women crave chocolate due to PMS (premenstrual syndrome) before or even during their cycle. Some attribute this craving to a loss of riboflavin during this time. But it could also be a response to the body’s increase in hormones that contribute to cravings for sweets and fats, and chocolate has both! Ignoring those cravings isn’t going to work. However, there are ways to satisfy your body’s needs without breaking the calorie bank, overindulging in food or reaching for unhealthy options. The cycle There are essentially two phases in the menstrual cycle — follicular and luteal — which are triggered by hormonal changes. “Cycle syncing” is the process of altering diet and activity according to a woman’s naturally occurring menstrual phases each month. When you consider nutrition “cycle syncing,” which is tailoring your nutrition with your menstrual cycle throughout the month, it’s helpful to break it into four separate components: Menstruation (beginning of menstruation). Follicular. Ovulation (1st day of luteal). Luteal. What does this mean? It means this complex cycle is controlled by female hormones that cause regular bleeding (periods). Estrogen is one of the major players that helps regulate a woman’s menstrual cycle and is produced mainly by the ovaries, the same two small glands that store hundreds of thousands of tiny eggs for release over a woman’s lifetime. Eating for PMS in cycle stages Phase 1: Menstruation – “Aunt Flo” comes to visit (3-7 days) During the menstrual period, the most work happens during the first three days. This is when a woman’s flow arrives and pain onsets in the pelvis, legs, back and other areas. This is also when the most blood is lost. The cramps a woman feels serve a purpose. They are a symptom of the uterus contracting, helping to shed the endometrium (the lining of the uterus), which you may know as Aunt Flo coming to visit, also known as menstrual bleeding. Focusing on good sources of nutrition with magnesium in them may help reduce the severity of symptoms for better sleep, headaches, muscle soreness in the uterus and cramping, swelling and bloating and mood changes. Healthy fats can be useful during this phase since levels of estrogen and progesterone are typically low. We need healthy fats to help generate any kind of hormones. Look for good sources of healthy fats in seafood rich in omega-3 fatty acids, avocados, olive oil, sardines in oil, nuts and seeds, fiber, apples, berries, ground flax seed and oatmeal. Phase 2: Follicular – release the kraken! (7-10 days) Let’s face it, during the second stage of a woman’s cycle, your body is about to drop the mic! Well, not the mic per se, but your body is preparing to release an egg. That’s a lot of work. During this phase, hormones are released to signal the production of follicles on the surface of an ovary. A handful will enlarge, but only the largest and strongest follicle will ultimately release an egg during ovulation. This plays the biggest role in the length of your cycle. At the very same time, the endometrium starts to thicken in case you’re getting ready to have a baby. The last five days of this phase, plus the ovulation day (the day the egg drops), are your fertile window (baby-making time!). This is when you are most likely to become pregnant if you have sexual intercourse without using birth control. Focus on complex carbohydrates during this phase. Complex carbohydrates keep the insulin-glucagon ratio even and can help manage depression, fatigue and insomnia. Pro Tip: Between cycling, zinc can be helpful for ovulation and potentially help to support the egg quality. For women who are looking to conceive, they may want to consider using more zinc in their diet or with a supplement leading up to the follicular phase. Talk with your health care provider to see if this is a helpful option for you. Phase 3: Ovulation phase – there can be only one! (2-4 days) The three to five days leading up to ovulation and the day of ovulation itself are the most fertile. Ovulation begins on the day the egg is released from the egg follicle on the ovary. Remember when you were little and found a dandelion seedling in the grass? You grabbed it and blew on the seedlings to release them into the wind. This is similar except it’s just one egg being released. Protein is your friend during this phase. Protein will help keep your blood sugars steady, keep you feeling full and prevent cravings. Phase 4: Luteal (premenstrual) phase – winter is coming! (10-14 days) The luteal phase starts on the day the egg drops, also known as ovulation day. This happens anytime from day 7 to day 22 of a normal menstrual cycle. After the teen years and before perimenopause (the time before menopause), the luteal phase is very predictable. It normally lasts 13 to 15 days from ovulation until menstrual bleeding starts a new cycle. These two weeks are also known as the premenstrual period. It’s very common to have symptoms during all or part of the luteal phase. You may feel irritable and cranky, gain water weight and feel bloated. A day or more before your period, you may start to have pain (cramps) in your belly, back or legs. It’s normal to have less energy at this time. Don’t panic, and don’t get down on yourself for needing to rest or nap. You may also have headaches, diarrhea or constipation, nausea or dizziness. When premenstrual symptoms make your daily life difficult, you are said to have premenstrual syndrome (PMS). Good dietary sources during the luteal phase should include calcium. Calcium can help reduce the severity of PMS symptoms, including bloating, depression, pain, mood swings and food cravings. Pro tip: It may be difficult to get all the calcium necessary to help with general PMS symptoms. While we recommend getting as much calcium as possible in your diet, check with your health care provider for guidance on nutrition and supplementation. According to the American College of Obstetricians and Gynecologists, 1,200 milligrams of magnesium is usually recommended to help reduce the physical and mood symptoms of PMS. Everyone metabolizes food and supplementation differently. Results will vary. The role of iron Consider increasing iron and iron sources, especially during the luteal phase leading up to the menstruation phase. The leading cause of iron deficiency and anemia is a woman’s cycle. The more that women boost their iron stores before their menstruation cycle, the better. Look to increase iron consumption through animal sources, legumes or fortified cereals. Some women might need supplementation or other medical interventions. Sometimes, other conditions cause heavy menstrual cycles or reasons for medical intervention. Follow up with your health care provider Women may have menstrual-related conditions needing treatment beyond lifestyle changes alone. Seek care for: Irregular periods (not due to medication or breastfeeding). Heavy menstrual bleeding or severe menstrual pain. Significant depression and/or anxiety around the menstruation cycle. Menstrual cycles can have many different symptoms and associated medical conditions. Making lifestyle modifications is helpful, but if you’re experiencing severe or concerning symptoms, these should always be discussed with a health care provider.
Trending News: Women in Politics
Gender and politics - it's a trending topic these days as Kamala Harris' surging in the polls may put her in the position to be America's first female president. And, when media are covering the topic, it's the experts from University of Mary Washington they're contacting. Rosalyn Cooperman is an Associate Professor of Political Science at the University of Mary Washington in Fredericksburg, VA. Cooperman’s research focuses on the relationship between political parties, PACs, and women candidates, as well as elite attitudes regarding women’s political participation. Recently she has been featured in and the Arizona Mirror, the Centre for American Women in Politics. View profile *** Recent Media Arizona Mirror “I don’t know that there’s any real fidelity to any stance on an issue unless it’s perceived to be useful — abortion being one of a very long list,” said Rosalyn Cooperman, who studies Republican candidates and political leaders at the University of Mary Washington. “If you look at what he has said over time, it is what is politically expedient.” Marketplace "They are a political action committee, but they can raise unlimited amounts of money from corporations, unions, individuals, but they can’t coordinate directly with the parties or candidates." CAWP "Progressive PACs are continuing to use abortion-related messages in fundraising appeals while conservative women’s PACs are not" - Rosalyn Cooperman Dr. Cooperman is available to speak to media – simply click on her icon to arrange an interview today.
ExpertSpotlight: Today is Women’s Equality Day
Women’s Equality Day on August 26 marks a pivotal moment in history, celebrating the anniversary of the 19th Amendment’s adoption, which granted women the right to vote in the United States. This day is not just a commemoration of past achievements but a call to address the ongoing challenges women face in achieving full equality. From wage gaps and representation in leadership to reproductive rights and gender-based violence, the fight for women’s equality continues to be a crucial issue in today’s society. This topic is significant as it highlights both the progress made and the work still needed to ensure true equality for all women. Key story angles that journalists might explore include: The evolution of women’s rights since the 19th Amendment and the ongoing struggle for gender equality. Current challenges women face in the workforce, including wage disparity and underrepresentation in leadership roles. The role of women in politics and the importance of female representation in government. Intersectionality in the women’s rights movement: how race, class, and other identities intersect with gender. The impact of recent legal decisions and legislation on women’s reproductive rights. Celebrations and events surrounding Women’s Equality Day across the country. This alert emphasizes the importance of reflecting on both historical achievements and current challenges, making it a compelling topic for coverage. Connect with an expert about Women’s Equality Day: To search our full list of experts visit www.expertfile.com
#Expert Insight: Political Fandom
The 2024 Presidential campaign has been a roller coaster ride this summer. The upheavals are so fast and unprecedented that the reaction to each event often seems too muted. An assassination attempt and sudden pre-convention withdrawal? In a past generation, these events would be decisive, but in 2024, they seem like just the latest blip in the news cycle. The polls never seem to move more than a couple of points. In such an oddly volatile but also stable environment, our best bet to understanding what is going to transpire during the last 100 days of the election cycle is to look at data that gets to the heart of how voters view the candidates. My choice of fundamental data or essential metric is candidate fandom. Fandom is an unusual metric in politics, but it should be more common. Fandom is about passion for and loyalty to a cultural entity, be it a team, singer, university, or even politician. In fact, MAGA Trump supporters and Bernie Bros share many characteristics with Swifties and Lakers fans. Fans of all these things show up, spend, wear branded apparel, and fiercely defend the object of their fandom. The politicians who inspire fandom, such as AOC, Donald Trump, Barack Obama, and Marjorie Taylor Green, enjoy many advantages and are the celebrities of the political world. Fandom is critical in politics because fans are loyal, engaged, and resilient. Fans are not casual potential voters who may change preferences and are unlikely to make an effort to stand in line to vote. Fans are the voters who will show up rain or shine and who can’t be swayed. In 2024, a fan will interpret a conviction of their candidate as political “lawfare” rather than evidence of criminality. Also, in 2024, a fan will make excuses for signs of aging that would result in children taking a senior’s car keys. The flip side of fandom, anti-fandom, is also a powerful political force. Indeed, politics may be the cultural context in which anti-fandom has the most impact. Taylor Swift may have haters, but these anti-Swifties are not buying tickets to see Katy Perry in protest. But in politics, hatred of a candidate might be as powerful a tool for generating a vote as fandom. Joe Biden’s 2020 campaign was notoriously bad at drawing crowds, suggesting he inspired little passion. In contrast, Trump’s rallies looked like rabid sports crowds complete with matching hats. However, the hatred and fear of Donald Trump inspired sufficient anti-fandom to make Biden competitive. Of course, fandom doesn’t entirely decide elections. In most elections, there isn’t all that much fandom or passion. Beyond the presidency and senatorial contests, most candidates are barely known, and identity factors (race, gender, party affiliation) and candidate awareness are the determining factors. Even in presidential elections, get-out-the-vote efforts (ballot harvesting) and election regulations (voter suppression) combined with effective marketing to the few percent of swing (low information) voters are often the determining factors. Looking toward the future, fandom may be an increasingly salient political metric for multiple reasons. First, the last two decades have witnessed many candidates raised quickly from obscurity with somehow Hollywood-worthy origin stories (Barack Obama, AOC, JD Vance, etc.). In the modern media environment, candidates’ reputations (brands) are increasingly the product of marketing narratives rather than a lifetime of real-world accomplishments. In this new world of politics, fandom will be a critical metric. Second, with the increasing diversity of the American electorate, voting will be increasingly based on identity rather than ideology. Identity-based voting segments are likely to be driven by fandom (and anti-fandom) rather than policy. We see a form of this in 2024, as high inflation has barely made a dent in voters’ preferences for the two parties. A fragmented electorate comprised of racial and gender segments whose preferences are driven by fandom and anti-fandom will lead to increasingly negative campaigns featuring ads highlighting the threat of the non-preferred party’s candidates. When voters are focused on identity, negative advertising becomes the ideal method to use fear to create anti-fandom (hate) to motivate turnout. Kamala Harris versus Donald Trump Barring further disruptions, the matchup is set for the 2024 presidential contest (as of this writing, we do not know the Democratic VP). We do know the matchup between Donald Trump and Kamala Harris is a contest between polarizing figures. Donald Trump is a movement candidate who has redefined the Republican party. He inspires passionate fandom from his followers and amazing antipathy from major media and cultural outlets. Harris is also polarizing. In the immediate aftermath of Biden’s withdrawal, Harris received massive media and donor support. However, Harris has not demonstrated any significant national voter appeal, and her time as VP has generated ample blooper real material. My approach to assessing the race is to examine each candidate's fandom and anti-fandom. Fandom is the candidate’s core, resilient support, while anti-fandom is about antipathy. Fandom and anti-fandom are especially powerful metrics for a candidate because they are relatively fixed after a candidate gains high awareness. Once an individual identifies with the candidate (e.g., they are on the same team), an attack on the candidate is an attack on the individual. This means attack ads do not work because fans feel they are being attacked. Anti-fans are also important because they constrain a candidate’s support. A Trump anti-fan is unpersuadable by efforts from the Trump campaign because their identity is steeped in opposition to him. Fans and anti-fans are trapped in a cycle of confirmation bias where all information is processed to fit their fandom. I use data from the Next Generation Fandom Survey to assess candidate fandom and anti-fandom. The Next Generation Fandom Survey involves a nationwide sample of the U.S. population regarding fandom for sports and other cultural entities. In the 2024 edition, political figures such as Donald Trump, Joe Biden, Kamala Harris, and RFK Jr were included. The survey captured responses from 2053 subjects split evenly across the four primary generations (Gen Z, Millennials, Gen X, and Baby Boomers), and the sample is representative in terms of racial background. The survey does not focus on likely or registered voters, so the results reflect overall societal sentiments rather than the electorate's opinions. The critical survey question asks subjects to rate how much of a fan they are of a celebrity on a 1 to 7 scale. In the following discussion, individuals who rated their fandom a 6 or 7 on the 7-point scale are categorized as Fans, while those who rate their fandom a 1 or 2 are classified as Anti-Fans. Table 1 shows the Fandom and Anti-Fandom rates for the entire sample. Donald Trump has a 27% fandom rate compared to Harris's 21%. The fandom rate is crucial because it identifies the candidate's core support. It also indicates something important about the candidate’s potential likability. In terms of anti-fandom, Harris has a slightly higher Anti-Fandom rate. Anti-Fandom is also critical as it shows the percentage of people who hate a candidate. The data suggests that Americans find Harris to be more dislikable than Trump. Notably, the anti-fandom rates are significantly higher than the fandom rates. The American public has significant disdain for politicians. The high anti-fandom rates are both the product of past negative advertising and the cause of future negative campaign strategies. Table 1: Candidate Fandom and Anti-Fandom Table 2 reports fandom rates based of the two gender segments. Trump has a 7%-point advantage with men and a surprising 4% advantage with women. This is a stunning result as Trump is generally regarded as having weakness with female voters. However, this weakness shows up in the anti-fandom rates. In the male segment, Trump has a 5%-point advantage in anti-fandom (fewer anti-fans), but a 3% disadvantage in the female segment. This reveals that Trump is polarizing to women, and almost half of women find Trump to be highly dislikable. This finding is why the Harris campaign is likely to use advertising that casts Trump as misogynistic or a threat to women to motivate turnout by female voters. Table 2: Candidate Fandom by Gender Table 3 shows the fandom rates for the two younger demographic segments: Gen Z and Millennials. This Table also shows Trump’s relative performance versus Biden (in parentheses in the last column). Trump enjoys higher fandom and lower anti-fandom than Harris in both the Gen Z and Millennial segments. In terms of fandom, Trump is plus 6% in Gen Z and plus 11% with Millennials. Critically, Harris outperforms Biden. The Gen Z anti-fandom gap between Trump and Biden favored Trump by 6% points. However, this gap shrinks to just 1% point when Harris is the comparison. The data suggests that Harris is stronger with Gen Z than Biden. Table 3: Candidate Fandom in Younger Generations Table 4 reports the fandom rates based on a racial segmentation scheme. Specifically, the sample is divided into White and Non-White categories. This is a crude segmentation, but it illustrates some essential points. Trump enjoys a significant 14% positive fandom advantage in the White demographic. He also enjoys a 10-point edge in (lower) anti-fandom. The pattern essentially reverses in the Non-White segment, as Harris has a 10-point advantage in fandom and a 17-point edge in anti-fandom. Trump’s anti-fandom in the Non-White segment is critical to the campaign. Nearly half of this segment has antipathy or hate for Trump. This high anti-fandom suggests an opportunity for the Harris campaign to emphasize racial angles in their attacks on Trump. Table 4: Candidate Fandom by Race In addition to fandom and anti-fandom rates across demographic categories, insights can be gleaned by looking at segmentation variables that reflect cultural values or personality. Table 5 shows fandom and anti-fandom rates for Trump and Harris for segments defined by fandom for Taylor Swift (Swifties) and Baseball. The Swifties skew towards Harris. The implication is that young women engaged in popular culture have more positive fandom for Harris and more negativity toward Trump. This is unsurprising given the content of the popular culture and Swift’s personal liberalism. The Swiftie segment shows a much stronger skew for Harris than all but the Non-White segment. Examining the data at a cultural level is vital as it indicates that it isn’t necessarily youth or gender where Harris has an advantage but a combination of youth, gender, and a specific type of cultural engagement. The table also includes fandom rates for baseball fans. In the Baseball Fan segment, Trump enjoys an 8% point fandom advantage and a 7% anti-fandom advantage (lower anti-fandom). Like the case of the Swifties, the fandom rates of Baseball Fans reveal something about Trump’s core support. Baseball is a very traditional game with an older fan base, and traditionalism is probably the core value of Trump fans. Trump’s negative advertising is likely to focus on the threats to traditional values (i.e., Harris is a San Francisco liberal). Table 5: Candidate Fandom and Cultural Segments Commentary and Prediction Fandom is a powerful metric for predicting political success, but like most data points, it doesn’t tell the whole story. Fandom is a measure of unwavering core support while anti-fandom measures the group that will never support and is likely to show up to vote against a candidate. Examining fandom rates across multiple segments reveals that Harris’ core support is concentrated in specific cultural and racial segments. The analysis also suggests that Trump's core support is broader than is usually acknowledged and that his main problem is significant anti-fandom with women and minorities. Harris’ problem is a lack of love, while Trump’s is too much hate. Notably, I am not paying too much attention to the current wave of excitement and enthusiasm surrounding Harris. The recent enthusiasm is likely more a manifestation of the Democratic base’s hopes and a relentless media onslaught than an actual increase in passion for Harris. Maybe there will be a permanent shift upward in Harris’s fandom, but I don’t see any logic for why this would occur. Harris isn’t suddenly more likable or aspirational than she was last month. The argument that the American people are becoming more acquainted with her is dubious, given that she has been the Vice President or a major presidential candidate for almost five years. What are the implications for the upcoming election? Voting is not only about fandom or hate, so we must consider some additional factors. For instance, many potential voters lack passion and knowledge and are more prone to vote based on identity rather than ideology. If a region or demographic segment consistently votes for a party 75% of the time, that’s voting more based on fixed identities than current societal conditions. The American electorate has many of these types of fixed-preference voter segments. Furthermore, as the American electorate becomes more diverse, identity-based voting seems to be making presidential contests more predictable. The baseline seems to be that the Democratic candidate will win the popular vote by a few percentage points, and the Electoral College will come down to a few states, such as Michigan, Pennsylvania, and Wisconsin. Examining past electoral maps shows far more shifting of states across elections. Now, all but a handful of states are regarded as non-competitive. The Figure below shows the presidential popular vote margins for the last 50 years. It shows a trend towards smaller margins for the winning candidate, which is at least partly due to growing ethnic diversity and more fixed (at least in the near and medium terms) identity-based voting. Over the last 13 cycles, the margin of victory has dropped by about 1% every four years. Demographic change has also locked in a high baseline level of support for Democratic candidates. The last time a Republican won the popular vote was in 2004, with George Bush as the incumbent. Figure 1: Presidential Vote Margin 1972 to 2020 In addition to shrinking election margins, demographic change promises to change future campaign tones. The increasing relevance of fandom and anti-fandom, combined with the growing diversity of the electorate, will make 2024 an extremely negative campaign. The 2024 election will be determined by identity-based demographic trends and negative (anti-fandom) marketing campaigns. Demographics are destiny, and America is changing rapidly in ways that make it increasingly difficult for the Republicans to win the popular vote. It doesn’t matter if the Democrat is Harris, Newsom, Clinton, or Whitmer while the Republican is Rubio, Haley, Cruz, or Burgum. The baseline is probably 52% to 48%, D to R. Candidate fandom and anti-fandom probably shift the vote 2 or 3 percent in either direction. The correlation of demographic traits with voting behaviors creates incentives for campaign strategies that focus on identity. Republicans are eager to shift some percentage of Black or Hispanic voters to their cause because it simultaneously reduces the Democrats' base and grows Republican totals. In contrast, Democrats need to motivate marginal voters in the female, Black, and Hispanic segments to turn out. Fear-based appeals are the most effective tool for both parties' goals. Negative messaging is also prevalent because of the general view of politicians. Politicians tend to inspire more antipathy (anti-fandom) than admiration (fandom). The fandom data shows this, as both candidates have far more anti-fans than fans (this holds with other politicians) . The modern election calculus is, therefore, focused on aggressive negative ads that inspire marginal voters to take the initiative to vote against a hated candidate. Passion drives behavior, and it's far easier to drive fear and hatred of a candidate than to inspire passion and admiration. Considering the fandom data and the current electorate, I have two predictions. First, we will witness an incredibly nasty race. Harris’s best bet is to demonize Trump to motivate the anti-Trump voters to turn out. The American culture of 2024 includes constant repetition that many Democratic voting constituencies are marginalized and threatened. These segments are best motivated by using messages that cast the Republicans as the danger or oppressor. Women will fear losing reproductive rights, and African Americans will be primed with threats to voting rights. Trump will also employ negative messaging, but Trump’s adoption of a negative campaign comes from a slightly different motivation. Trump’s core support consists of conservatives who are frustrated by a lack of cultural power and representation. This group is looking for someone who will fight for their values. This desire for a “fighting advocate” explains much of Trump’s appeal, as his supporters are enthusiastic about his “mean tweets and nicknames.” There will also be fear-based advertising as Harris will be positioned as wanting to defund police and open the border. Second, Trump wins in a close contest. Comparing Trump’s and Harris’ fandom and anti-fandom suggests the Harris campaign faces an uphill challenge. Despite the current blitz of enthusiasm for Harris as a replacement for a failing Joe Biden, her “brand” has not shown an ability to stimulate passion, and her dislike levels exceed Trump's. It seems unlikely that she will be able to inspire fans. While Trump has a significant fanbase and weaknesses in terms of strong anti-fandom levels in minority and cultural segments, he probably beat Clinton in 2016 because her anti-fandom was equivalent to his. In contrast, he lost to Biden because Biden had less anti-fandom (in 2020). Kamala Harris seems more like Clinton than Biden, so look for a similar outcome as in 2016. The bottom-line prediction: An exceptionally negative campaign, with Trump’s greater baseline fandom and Harris’s charisma deficit leading to a narrow Trump victory. As in 2016,Trump wins the Electoral College while losing the popular vote. Addendum: Future Fandom Lesson The structure of the American electorate and the propensity of people to vote based on identity rather than ideology mean that negative campaigns are the standard in the near future. The essential observation is that demographic trends create an electorate that is more a collection of identity segments than a homogeneous population that varies in ideology. An increasingly diverse electorate likely means increasingly negative presidential campaigns as negative or fear-based appeals are especially effective when elections focus on threats to identity groups. The tragedy of this situation is that the negative messages of campaigns amplify racial division and acrimony. When the next election occurs, the electorate is even more polarized, and negative or fear-based appeals are again the most effective. Mike Lewis is an expert in the areas of analytics and marketing. This approach makes Professor Lewis a unique expert on fandom as his work addresses the complete process from success on the field to success at the box office and the campaign trail. Michael is available to speak with media - simply click on his icon now to arrange an interview today. Interested in following Future Fandom! Subscribe for free to receive new posts.
Sport and Study: Villanova University Faculty Offer Academic Lens to Paris Olympics Storylines
All eyes are on Paris: more than 10,000 athletes from 206 nations are set to compete in the Games of the XXXIII Olympiad, the third Olympics in the City of Love and the first since 1924. Below, Villanova University faculty members provide their academic expertise on the unique storylines and narratives already taking place as Paris 2024 gets underway. Portraying a National Image in the Opening Ceremony Étienne Achille, PhD Director of French and Francophone Studies After months of speculation, the daily Le Parisien has officially confirmed that renowned French-Malian singer Aya Nakamura will lend her vocals to an opening ceremony featuring an iconic backdrop steeped in history. “Nakamura is the most-streamed Francophone singer in the world, embodying France’s culture on a global stage, and she’ll be paying homage to one of the most cherished representatives of the chanson française,” said Dr. Achille, referring to reports she will sing one of beloved French crooner Charles Aznavour’s greatest hits. According to Dr. Achille, the pop star’s presence is significant and symbolic. “A performer, or even a flagbearer, can easily become the face of a global event like the Olympics,” he said. The details of the setting for the ceremony – in the heart of Paris, along the Seine – are just as intentionally symbolic. “Not only will this be the first opening ceremony to take place entirely outside of a stadium; its location along the river and the fact the delegations will be on boats are key. “It represents movement and connection to the world,” Dr. Achille said. “And Nakamura’s performance projects the image of a modern, multi-ethnic nation building on tradition while proudly marching into the future.” Swimming in the Seine: Safe or Not? Metin Duran, PhD Professor of Civil and Environmental Engineering It is, perhaps, the most-asked question of the last few weeks. Is the Seine River, set to host multiple swimming events, safe? The river has been illegal to swim in for a century due to the presence of harmful bacteria such as E. Coli, and recent testing has reaffirmed this concern. The Seine, which had undergone an expensive cleaning to mitigate this issue, received the endorsement of Paris Mayor Ann Hidalgo, who personally took a dip in the water herself to attest to its safety. The stunt did little to convince experts such as Dr. Duran, who studies wastewater, to abandon concern about the potential health risks of athletes being exposed to pathogens in the water. “When we have fecal pollution, there is a high likelihood of pathogens being present,” Dr. Duran said. “Those could be viral, like a norovirus, or protozoan. “If you’re swimming in that water, you run the risk of ingesting it. Once you ingest that polluted water, you’re likely to contract some of those disease-causing pathogens. Ingesting this water doesn’t mean you’re necessarily going to get sick, but based on the number of people in a big city like Paris, there is a very high likelihood of some of these pathogens existing now in the river.” Accommodations for Breastfeeding Athletes Sunny Hallowell, PhD, APRN, PPCNP-BC Associate Professor of Nursing The IOC and Paris 2024 Organizing Committee is providing support to all breastfeeding athletes competing in the Games. A few national governing bodies, like the French Olympic Committee, are going a step further and offering hotel rooms near the Village for their country’s breastfeeding athletes to share with their children and spouses. “A few decades ago, the idea of a female athlete who also wanted to breastfeed their child was so taboo it may have prevented an athlete from competing,” said Dr. Hallowell. “Now, many female athletes who choose to breastfeed their newborns or toddlers conceptualize breastfeeding as another normal function of their remarkably athletic bodies.” Accommodation for breastfeeding athletes and increased awareness are needed more than ever. Dr. Hallowell notes that in addition to changing views on breastfeeding, the needs for such accommodations are increasing as the age of peak athletic performance also increases. “Advances in sports nutrition, wellness and lifestyle have extended the longevity and performance of many athletes into adulthood,” she said. And while some athletes with rigorous training regimens might feel “frustrated incorporating breastfeeding into the routine,” Dr. Hallowell says that for others, “breastfeeding provides both physical and socio-emotional benefits for the mother and the infant that allow the athlete to focus on the job of competition.” Protecting Against the Parisian Heat Ruth McDermott-Levy, PhD, MPH, RN, FAAN Professor of Nursing The potential for extreme heat in Paris has been a topic of concern for athletes and organizers, prompting certain outdoor events to be proactively scheduled at times to avoid the day’s worst heat. Current forecasts predict temperatures in the 90s for several days early on in the Games, which could be exacerbated by Paris’ reputation as an urban heat island, unable to cool due to lack of green space and building density. Dr. McDermott-Levy says the athletes are inherently vulnerable, because “the added stress of physical exertion during their events puts them at greater risk of heat-related illness.” But she also notes that many of the athletes have likely undergone pre-competition training in extreme heat conditions to acclimate and will have trainers and health professionals monitoring them frequently. “The group of concern are the workers at the stadiums, outdoor workers and spectators who are there to enjoy or work at the events and may have had little to no acclimation,” Dr. McDermott-Levy said. “They need to follow local instructions and take frequent breaks from the heat, seek shade and maintain hydration by avoiding alcohol and sugary drinks and drinking water.” How Nature Can Inspire Future Use of Olympic Infrastructure Alyssa Stark, PhD Assistant Professor of Biology Gone, hopefully, are the days of abandoned Olympic Villages and venues, overrun with weeds and rendered useless soon after the Games conclude. The IOC’s commitment to sustainability has been transparently relayed ahead of the 2024 Games, featuring a robust range of initiatives and programs. Dr. Stark is particularly interested in one aspect of ensuring a sustainable Olympics. “How will the structures, materials and systems they developed for the Olympics be re-used, re-shaped or re-worked afterward?” she posed. “This could include re-using buildings to larger scale or re-working transportation systems set in place for the Games that could then integrate into day-to-day life post Olympics.” At the root of her interest is the concept of biomimicry. “A lot of the way we think about designing, if we’re using this biomimicry lens, is how do we learn from nature to solve problems that we have in a sustainable way, keeping in mind the environment we are in?” Dr. Stark said. In this case, consider how something like a dwelling of a living creature might be repurposed to fit the needs of another creature, or serve another natural purpose, without harming the ecosystem. Could that inspire a way to re-use the Olympic infrastructure? “There are a ton of examples of [biomimicry] being used and working in products,” Dr. Stark said. “But I would say the next step is looking at the social levels of these big ecosystems – building architecture, city planning, flow of information and, in this instance, repurposing what was created for the Olympics.” Paris Could Be a Transportation Model for Major City Events in the United States Arash Tavakoli, PhD Professor of Civil and Environmental Engineering Paris has invested 250 million Euro the last several years to transform the city to a 100% cycling city, making it one of the most bike-friendly municipalities in the world. Currently, more trips are being made by bicycles in Paris than by cars (11% vs. 4%), a trend that has permeated to the surrounding suburbs as well. With an influx of travelers in Paris for the Games, Dr. Tavakoli, an expert in human transportation, said, “The Olympics will be a test for how well these kinds of systems respond to high fluctuations in the population as compared to vehicle-centric systems.” While Paris is thousands of miles away from the United States, how bicycle, pedestrian and vehicle systems work during the Games could provide helpful insight ahead of major events in American cities. “With the World Cup coming to the U.S. in a few years, it will be interesting to compare [Paris] with how our own system responds to people’s needs,” Dr. Tavakoli said. “Not just based on traffic data and congestion, but also considering factors like how comfortable the transportation system is, how much it affects our well-being and how much it attracts a nonresident to enjoy the U.S. when their only option, for the most part, is a vehicle.”
Expert Q&A: Should We Permit AI to Determine Gender and Race from Resumes?
The banner ads on your browser, the route Google maps suggests for you, the song Spotify plays next: algorithms are inescapable in our daily lives. Some of us are already aware of the mechanisms behind a targeted ad or a dating profile that lights up our phone screen. However, few of us may actually stop to consider how this technology plays out in the hiring sector. As with any major technological advancement, it usually takes society (and legislation) a while to catch up and adjust for unintended consequences. Ultimately, algorithms are powerful tools. Like any tool, they have the potential for societal benefit or harm, depending on how they’re wielded. Here to weigh in on the matter is Assistant Professor of Information Systems & Operations Management Prasanna Parasurama, who recently joined Emory Goizueta Business School’s faculty in fall of 2023. This interview has been edited for clarity. Describe your research interests in six words. Six words…that’s difficult to do on the spot. How about “the impact of AI and other digital technologies on hiring.” Is that condensed enough? That works! What first interested you in the intersection of AI and hiring practices? Before I did my PhD, I was working as a data scientist in the HR analytics space at a start-up company. That is where my interest in the topic began. But this was a long time ago. People hadn’t started talking much about AI, or algorithmic hiring. The conversation around algorithmic bias and algorithmic fairness picked up steam in the second or third year of my PhD. That had a strong influence on my dissertation focus. And naturally, one of the contexts in which both these matters have large repercussions is in the hiring space. What demographics does your research focus on (gender identity, race/ethnicity, socioeconomic status, all of the above)? Do you focus on a particular job sector? My research mostly looks at gender and race for two main reasons. First, prior research has typically looked at race and gender, which gives us a better foundation to build on. Second, it’s much easier to measure gender and race based on the data that we have available—from resumes, from hiring data, like what we collect from the Equal Employment Opportunity Commission. They typically collect data on gender and race, and our research requires those really large data sets to draw patterns. They don’t ask for socioeconomic status or have an easy way to quantify that information. That’s not to say those are less important factors, or that no one is looking at them. One of the papers you’re working on examines resumes written by self-identified men and women. It looks at how their resumes differ, and how that influenced their likelihood of being contacted for an interview. So in this paper, we’re essentially looking at how men and women write their resumes differently and if that impacts hiring outcomes. Take resume screening algorithms, for example. One proposed way to reduce bias in these screening algorithms is to remove names from resumes to blind the applicant’s gender to the algorithm. But just removing names does very little, because there are so many other things that serve as proxies to someone’s gender. While our research is focused on people applying to jobs in the tech sector, this is true across occupations. "We find it’s easy to train an algorithm to accurately predict gender, even with names redacted." Prasanna Parasurama What are some of those gendered “tells” on a resume? People write down hobbies and extracurricular activities, and some of those are very gendered. Dancing and ballet tend to denote female applicants; you’re more likely to see something like wrestling for male applicants. Beyond hobbies, which is sort of obvious, is just how people write things, or the language they use. Female applicants tend to use a lot more affective words. Men, on the other hand, use more of what we call agentic words. Can you explain that a little more? In social psychology, social role theory argues that men are stereotyped to be more agentic, whereas women are stereotyped to be more communal, and that their communication styles reflect this. There’s essentially a list of agentic words that researchers have come up with that men use a lot more than women. And women are more likely to use affective words, like “warmly” or “closely,” which have to do with emotions or attitudes. These communication differences between men and women have been demonstrated in social sciences before, which has helped inform our work. But we’re not just relying on social science tools—our conclusions are driven by our own data. If a word is able to predict that an applicant’s resume belongs to a female versus male applicant, then we assign different weights, depending on how accurately it can predict that. So we’re not just operating on theories. Were there any gendered patterns that surprised you? If you were to assign masculinity and femininity to particular words, an algorithm would likely assign “married” to be a feminine term in most contexts. But in this particular case, it’s actually more associated with men. Men are much more likely to use it in resumes, because it signals something different to society than when women use it. "One of the most predictive terms for men was references to parenthood. It’s much easier for men to reference kids than for women to reveal information about their household status. Women face a penalty where men receive a boost." Prasanna Parasurama Studies show that people perceive fathers as being more responsible employees, whereas mothers are regarded as less reliable in the workplace. We haven’t studied this, but I would speculate that if you go on a platform like LinkedIn, men are more likely to disclose details about fatherhood, marriage, and kids than women are. There were some other tidbits that I didn’t see coming, like the fact that women are much less likely to put their addresses on their resume. Can AI predict race from a resume as easily as it can predict gender? There’s surprisingly very little we know on that front. From existing literature outside of algorithmic literature, we know differences exist in terms of race, not just on the employer side, where there might be bias, but we also on the worker side. People of different races search for jobs differently. The question is, how do we take this into account in the algorithm? From a technical standpoint, it should be feasible to do the same thing we do with gender, but it just becomes a little bit harder to predict race in practice. The cues are so variable. Gender is also more universal – no matter where you live, there are probably men and women and people who identify as in between or other. Whereas the concept of race can be very specific in different geographic regions. Racial identities in America are very different from racial identities in India, for instance. And in a place like India, religion matters a lot more than it does in the United States. So this conversation around algorithms and bias will look different across the globe. Beyond screening resumes, how does AI impact people’s access to job opportunities? A lot of hiring platforms and labor market intermediaries such as LinkedIn use AI. Their task is to match workers to these different jobs. There’s so many jobs and so many workers. No one can manually go through each one. So they have to train algorithms based on existing behavior and existing design decisions on the platform to recommend applicants to particular jobs and vice versa. When we talk about algorithmic hiring, it’s not just hiring per se, but spaces like these which dictate what opportunities you’re exposed to. It has a huge impact on who ends up with what job. What impact do you want your research to have in the real world? Do you think that we actually should use algorithms to figure out gender or race? Is it even possible to blind AI to gender or race? Algorithms are here to stay, for better or worse. We need them. When we think about algorithmic hiring, I think people picture an actual robot deciding who to hire. That’s not the case. Algorithms are typically only taking the space of the initial part of hiring. "I think overall, algorithms make our lives better. They can recommend a job to you based on more sophisticated factors than when the job was chronologically posted. There’s also no reason to believe that a human will be less biased than an algorithm." Prasanna Parasurama I think the consensus is that we can’t blind the algorithm to gender or other factors. Instead, we do have to take people’s demographics into account and monitor outcomes to correct for any sort of demonstrable bias. LinkedIn, for example, does a fairly good job publishing research on how they train their algorithms. It’s better to address the problem head on, to take demographic factors into account upfront and make sure that there aren’t drastic differences in outcomes between different demographics. What advice would you give to hopeful job candidates navigating these systems? Years of research have shown that going through a connection or a referral is by far the best way to increase your odds of getting an interview—by a factor of literally 200 to 300 percent. Hiring is still a very personal thing. People typically trust people they know. Prasanna Parasurama is an Assistant Professor of Information Systems & Operations Management at Emory University’s Goizueta Business School. Prasanna’s research areas include algorithmic hiring, algorithmic bias and fairness, and human-AI interaction. His research leverages a wide array of quantitative methods including econometrics, machine learning, and natural language processing. Prasanna is available to talk about this important and developing topic - simply click on his icon now to arrange an interview today.
Choosing whether to attend college is a pivotal moment in any high school student's life. It is a decision that can shape their future, determine their career path, and provide them with the necessary skills and knowledge to succeed in their chosen field. However, in a new study, the Education Advisory Board noted that nearly one-third (28%) of high school students cite mental health concerns as a reason they may choose to delay enrollment or opt out of college entirely. We have multiple experts here at the University of Delaware who can provide context to this phenomenon and talk about what could potentially be done to address the issues. Leigh McLean can speak primarily about teacher well being and she can also address student well being in the course of her research. Roderick Carey can speak about Black and Latinx students and their struggles with this decision. Broken down even further, 54% of trans students, 53% of nonbinary students, 33% of Black students, 30% of Native Americans and 30% of female students said this was their thinking. Nearly half (48%) of the students survey said "stress and anxiety overshadow their college search and planning." McLean and Carey have both been featured in multiple outlets including the Associated Press, Education Week and Chalkbeat. They can be reached by clicking their profiles.
