Emőke-Ágnes Horvát
Biographic Data
| ID | 336742 |
|---|---|
| NAME | Emőke-Ágnes Horvát |
| GIVEN NAMES | Emőke-Ágnes |
| FAMILY NAME | Horvát |
| SIGNATURE | HORVÁT E |
| AFFILIATIONS | Northwestern University |
| ORCID | 0000-0001-7709-1172 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 21 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 7 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
“They Only Silence the Truth”
Retracted COVID-19 articles have circulated widely on social media. Although retractions are intended to correct the scientific record, when trust in science is low, they may instead be interpreted as evidence of censorship or simply ignored. We performed a content analysis of tweets about the two most widely shared retracted COVID-19 articles, Mehra20 and Rose21, before and after their retractions. When Mehra20 was seen as a politicized attack o…
Dying to Fit In
Research has repeatedly demonstrated the ability of social networks, interpersonal discussion, and perceived social norms to shape health-related outcomes. There are still substantial gaps, however, in understanding the theoretical mechanism that holds these components together, as well as the boundary conditions of their effects. Employing ego-network analysis with a representative sample of Illinois residents (N = 711) and focusing on the conte…
Programmed differently? Testing for gender differences in Python programming style and quality on GitHub
The underrepresentation of women in open-source software is frequently attributed to women’s lack of innate aptitude compared to men: natural gender differences in technical ability (Trinkenreich et al., 2021). Approaching code as a form of communication, I conduct a novel empirical study of gender differences in Python programming on GitHub. Based on 1,728 open-source projects, I ask if there is a gender difference in the quality and style of Py…
The gendered lens of AI
This study investigates gender representation in artificial intelligence (AI)-related images across various digital spaces to understand potential biases and visual narratives in the AI domain. We analyzed a dataset of 28,199 images from news media, technology news websites, social media, knowledge-sharing platforms, and other digital spaces. Our findings revealed the prevalence of male faces and the consistent underrepresentation of women across…
Smiling women pitching down
Generative Artificial Intelligence (AI) models like DALL·E 2 can interpret prompts and generate high-quality images that exhibit human creativity. Though public enthusiasm is booming, systematic auditing of potential gender biases in AI-generated images remains scarce. We addressed this gap by examining the prevalence of two occupational gender biases (representational and presentational biases) in 15,300 DALL·E 2 images spanning 153 occupations.…
Surviving or thriving political defeat on social media
Extensive research reveals gender gaps in social media expression, particularly women’s reduced propensity for sharing political information and opinions. We examine the impact of political defeat on the gender gap in political expression on social media by pairing Twitter data from candidate supporters with a voter file. Our results indicate that Trump’s 2020 defeat reduced tweet volumes only among his female supporters, while his male supporter…
Categorizing the non-categorical
Studies of gendered phenomena online have highlighted important disparities, such as who is likely to be elevated as an expert or face gender-based harassment. This research, however, typically relies upon inferring user gender—an act that perpetuates notions of gender as an easily observable, binary construct. Motivated by work in gender and queer studies, we therefore compare common approaches to gender inference in the context of online settin…
Uncovering gender stereotypes in controversial science discourse
This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering various modalities such as captions an…
Can social media combat gender inequalities in academia? Measuring the prevalence of the Matilda effect in communication
This study sought to investigate whether scholarly impact and academic influence differ between men and women in the field of communication and the extent to which the gender gap has persisted on social media platforms, an arena increasingly used for research dissemination. Data were collected from 10,736 articles, published in prominent communication journals between 2012 and 2022, using a combination of three sources: OpenAlex, Altmetric, and T…
Writer movements between news outlets reflect political polarization in media
Digital news outlets rely on a variety of outside contributors, from freelance journalists, to political commentators, to executives and politicians. These external dependencies create a network among news outlets, traced along the contributors they share. Using connections between outlets, we demonstrate how contributors’ publishing trajectories tend to align with outlet political leanings. We also show how polarized clustering of outlets transl…
Birds of a Feather Flock Together Online
Communication has long been concerned with people's media repertoires, yet little of this approach has extended to the combination of social media platforms that people use. Despite their considerable popularity, research has found that people do not select into the use of social network sites (SNSs) randomly, which has implications for both whose voices are represented on them and where messaging can reach diverse people. While prior work has co…
Gender Differences in the Global Music Industry
With digital music consumption being at an all-time high, online music encyclopedia like MusicBrainz and music intelligence platforms like The Echo Nest are becoming increasingly important in identifying, organizing, and recommending music for listeners around the globe. As a byproduct, such sites collect comprehensive information about a vast amount of artists, their recorded songs, institutional support, and the collaborations between them. Usi…
Multiplex Networks
A Cookbook of Cinematic Delicacies That Do Not Expire
Despite the increasing number of film rankings that are created on the basis of economic considerations, critical acclaim, or personal taste, cinema lacks the means to quantify the long-term success of films. The authors therefore propose a novel approach to the analysis of cinematic influences which is based on a film citation network that is extracted from a large data base. The resulting top list of films is more diverse in terms of the main c…
A fixed degree sequence model for the one-mode projection of multiplex bipartite graphs
Smiling women pitching down
Generative Artificial Intelligence (AI) models like DALL·E 2 can interpret prompts and generate high-quality images that exhibit human creativity. Though public enthusiasm is booming, systematic auditing of potential gender biases in AI-generated images remains scarce. We addressed this gap by examining the prevalence of two occupational gender biases (representational and presentational biases) in 15,300 DALL·E 2 images spanning 153 occupations.…
Surviving or thriving political defeat on social media
Extensive research reveals gender gaps in social media expression, particularly women’s reduced propensity for sharing political information and opinions. We examine the impact of political defeat on the gender gap in political expression on social media by pairing Twitter data from candidate supporters with a voter file. Our results indicate that Trump’s 2020 defeat reduced tweet volumes only among his female supporters, while his male supporter…
The gendered lens of AI
This study investigates gender representation in artificial intelligence (AI)-related images across various digital spaces to understand potential biases and visual narratives in the AI domain. We analyzed a dataset of 28,199 images from news media, technology news websites, social media, knowledge-sharing platforms, and other digital spaces. Our findings revealed the prevalence of male faces and the consistent underrepresentation of women across…
Writer movements between news outlets reflect political polarization in media
Digital news outlets rely on a variety of outside contributors, from freelance journalists, to political commentators, to executives and politicians. These external dependencies create a network among news outlets, traced along the contributors they share. Using connections between outlets, we demonstrate how contributors’ publishing trajectories tend to align with outlet political leanings. We also show how polarized clustering of outlets transl…
Birds of a Feather Flock Together Online
Communication has long been concerned with people's media repertoires, yet little of this approach has extended to the combination of social media platforms that people use. Despite their considerable popularity, research has found that people do not select into the use of social network sites (SNSs) randomly, which has implications for both whose voices are represented on them and where messaging can reach diverse people. While prior work has co…
A fixed degree sequence model for the one-mode projection of multiplex bipartite graphs
Uncovering gender stereotypes in controversial science discourse
This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering various modalities such as captions an…
A fixed degree sequence model for the one-mode projection of multiplex bipartite graphs
Multiplex Networks
A Cookbook of Cinematic Delicacies That Do Not Expire
Despite the increasing number of film rankings that are created on the basis of economic considerations, critical acclaim, or personal taste, cinema lacks the means to quantify the long-term success of films. The authors therefore propose a novel approach to the analysis of cinematic influences which is based on a film citation network that is extracted from a large data base. The resulting top list of films is more diverse in terms of the main c…
Gender Differences in the Global Music Industry
With digital music consumption being at an all-time high, online music encyclopedia like MusicBrainz and music intelligence platforms like The Echo Nest are becoming increasingly important in identifying, organizing, and recommending music for listeners around the globe. As a byproduct, such sites collect comprehensive information about a vast amount of artists, their recorded songs, institutional support, and the collaborations between them. Usi…
Writer movements between news outlets reflect political polarization in media
Digital news outlets rely on a variety of outside contributors, from freelance journalists, to political commentators, to executives and politicians. These external dependencies create a network among news outlets, traced along the contributors they share. Using connections between outlets, we demonstrate how contributors’ publishing trajectories tend to align with outlet political leanings. We also show how polarized clustering of outlets transl…
Birds of a Feather Flock Together Online
Communication has long been concerned with people's media repertoires, yet little of this approach has extended to the combination of social media platforms that people use. Despite their considerable popularity, research has found that people do not select into the use of social network sites (SNSs) randomly, which has implications for both whose voices are represented on them and where messaging can reach diverse people. While prior work has co…
Programmed differently? Testing for gender differences in Python programming style and quality on GitHub
The underrepresentation of women in open-source software is frequently attributed to women’s lack of innate aptitude compared to men: natural gender differences in technical ability (Trinkenreich et al., 2021). Approaching code as a form of communication, I conduct a novel empirical study of gender differences in Python programming on GitHub. Based on 1,728 open-source projects, I ask if there is a gender difference in the quality and style of Py…
The gendered lens of AI
This study investigates gender representation in artificial intelligence (AI)-related images across various digital spaces to understand potential biases and visual narratives in the AI domain. We analyzed a dataset of 28,199 images from news media, technology news websites, social media, knowledge-sharing platforms, and other digital spaces. Our findings revealed the prevalence of male faces and the consistent underrepresentation of women across…
Smiling women pitching down
Generative Artificial Intelligence (AI) models like DALL·E 2 can interpret prompts and generate high-quality images that exhibit human creativity. Though public enthusiasm is booming, systematic auditing of potential gender biases in AI-generated images remains scarce. We addressed this gap by examining the prevalence of two occupational gender biases (representational and presentational biases) in 15,300 DALL·E 2 images spanning 153 occupations.…
Surviving or thriving political defeat on social media
Extensive research reveals gender gaps in social media expression, particularly women’s reduced propensity for sharing political information and opinions. We examine the impact of political defeat on the gender gap in political expression on social media by pairing Twitter data from candidate supporters with a voter file. Our results indicate that Trump’s 2020 defeat reduced tweet volumes only among his female supporters, while his male supporter…
Categorizing the non-categorical
Studies of gendered phenomena online have highlighted important disparities, such as who is likely to be elevated as an expert or face gender-based harassment. This research, however, typically relies upon inferring user gender—an act that perpetuates notions of gender as an easily observable, binary construct. Motivated by work in gender and queer studies, we therefore compare common approaches to gender inference in the context of online settin…
Uncovering gender stereotypes in controversial science discourse
This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering various modalities such as captions an…
Can social media combat gender inequalities in academia? Measuring the prevalence of the Matilda effect in communication
This study sought to investigate whether scholarly impact and academic influence differ between men and women in the field of communication and the extent to which the gender gap has persisted on social media platforms, an arena increasingly used for research dissemination. Data were collected from 10,736 articles, published in prominent communication journals between 2012 and 2022, using a combination of three sources: OpenAlex, Altmetric, and T…
Dying to Fit In
Research has repeatedly demonstrated the ability of social networks, interpersonal discussion, and perceived social norms to shape health-related outcomes. There are still substantial gaps, however, in understanding the theoretical mechanism that holds these components together, as well as the boundary conditions of their effects. Employing ego-network analysis with a representative sample of Illinois residents (N = 711) and focusing on the conte…
“They Only Silence the Truth”
Retracted COVID-19 articles have circulated widely on social media. Although retractions are intended to correct the scientific record, when trust in science is low, they may instead be interpreted as evidence of censorship or simply ignored. We performed a content analysis of tweets about the two most widely shared retracted COVID-19 articles, Mehra20 and Rose21, before and after their retractions. When Mehra20 was seen as a politicized attack o…
Computer Science (10 works) · Psychology (9 works) · Sociology (7 works) · Political science (5 works) · Artificial Intelligence (4 works) · Gender, Feminism, and Media (4 works) · Politics (4 works) · Social media (4 works) · Social Media and Politics (4 works) · Data science (3 works)