Emese Domahidi
Biographic Data
| ID | 354610 |
|---|---|
| NAME | Emese Domahidi |
| GIVEN NAMES | Emese |
| FAMILY NAME | Domahidi |
| SIGNATURE | DOMAHIDI E |
| AFFILIATIONS | Technische Universität Ilmenau |
| ORCID | 0000-0003-3530-797X |
| VERIFIED | Yes |
| TOTAL WORKS | 24 |
| TOTAL CITATIONS | 14 |
| AUTHOR COUNT | 24 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
The language similarity between corona protest mobilizers on Telegram and German politicians on Twitter
Protest movements against COVID-19 containment measures, like Germany’s Querdenken, aim to put their position on the political agenda. The German far-right party Alternative for Germany (AfD) acted as an arm of Querdenken in the federal parliament, but the role of other parties remains unclear. The current paper explores Querdenken’s ability to stimulate the discourse in the political arena. We investigated language similarity between Querdenken …
Crisis, country, and party lines: Politicians’ Misinformation Behavior and Public Engagement
Politicians with large media visibility and social media audiences have a significant influence on public discourse. Consequently, their dissemination of misinformation can have profound implications for society. This study investigated the misinformation-sharing behavior of 3277 politicians and associated public engagement by using data from X (formerly Twitter) during 2020–2021. The analysis was grounded in a novel and comprehensive dataset inc…
Quantity or quality? Comparing social media data sampling strategies for government crisis communication research
Social media platforms are popular data sources for communication research, with X (formerly Twitter) being the most commonly used. However, strategies for high-quality social media data collection that form the cornerstone of rigorous research are rarely discussed or evaluated. In this paper, we use a case study of government crisis communication during Covid-19 in Germany and Italy to compare deductive and inductive sampling strategies on X in …
Classification bias of LLMs in detecting incivility towards female and male politicians in German social media discourse
Multilevel government crisis communication on social media: A comparative and longitudinal approach
Agenda-setting is an important way for the government to capture public attention. Different government branches, with their specific target audiences, may have different agenda prioritization strategies. In the current study, we compared the agenda-setting process across seven countries and three levels of government branches during the COVID-19 pandemic. We employed a multilingual topic model to extract the agendas from social media data. Our r…
Do Women Write More About Women? The Impact of Journalist Gender on the Media Visibility of Female and Male Politicians
The representation of women in politics and political journalism remains disproportionately low. This paper argues that these disparities are interconnected, as individual journalists exhibit a same-gender preference when deciding who to cover. Since journalists are key gatekeepers in the selection and dissemination of news, gender-based differences in reporting can contribute to the limited media visibility of female politicians. Drawing on more…
Moving from Offline to Online: How Covid-19 Affected Research in the Social and Behavioral Sciences
During the COVID-19 pandemic, researchers have faced a lot of challenges related to their daily work. This article introduces a special issue of the American Behavioral Scientist , which particularly focuses on methodological challenges caused by the COVID-19 pandemic. Based on a brief review of the literature as well as the studies in this issue, we argue that the pandemic has sparked significant methodological innovations with respect to design…
Still facing the ‘paper ceiling’? Exploring gender differences in political news coverage of the last decade
In the present study, we investigate gender bias against politicians in a large set of news articles ( n = 1,139,571) published in major media outlets in the United States between 2010 and 2020 by tracing changes in reporting about 1,095 US politicians. Using topic modeling with latent Dirichlet allocation (LDA), we identify main policy-related topics in media reports. We find gender differences in the coverage of certain policy issues, with majo…
Mapping a Dark Space: Challenges in Sampling and Classifying Non- Institutionalized Actors on Telegram
Crafted as an open communication platform characterized by high anonymity and minimal moderation, Telegram has garnered increasing popularity among activists operating within repressive political contexts, as well as among political extremists and conspiracy theorists. While Telegram offers valuable data access to research non-institutionalized activism, scholars studying the latter on Telegram face unique theoretical and methodological challenge…
Goodbye, Gender Stereotypes? Trait Attributions to Politicians in 11 Years of News Coverage
In this study, we examine gender differences in political news coverage to determine whether the media employ stereotypical traits in portrayals of 1,095 U.S. politicians. Using a sample of over 5 million U.S. news stories published from 2010 to 2020, we study the media’s attribution of gender-linked ( feminine, masculine) and political ( leadership, competence, integrity, empathy) traits to U.S. politicians and present new longitudinal evidence …
A global health crisis with divided research traditions? A comparative review of Brazilian and international research in communication on the Covid-19 pandemic
The COVID-19 pandemic resulted in substantial international scientific research from high-income countries, with fewer contributions from low- and middle-income countries (LMIC). Utilizing a field theory approach, we contend that these output variations may underscore challenges faced by LMIC researchers in obtaining international academic recognition. Through a systematic review of Brazilian and international Communication research during the pa…
The computational turn in online mental health research: A systematic review
Digital trace data and computational methods are increasingly being used by researchers to study mental health phenomena (i.e. psychopathology and well-being) in social media. Computer-assisted mental health research is not simply a continuation of previous studies, but rather raises ethical, conceptual and methodological issues that are critical to behavioural science but have not yet been systematically explored. Based on a systematic review of…
Exploring citizen discussions’ potential to inform smart city agendas: Insights from German-city-centered online communities
With more than 50% of the world’s population living in urban areas, the smart city concept has been introduced as a solution to urbanization problems, with a focus on technological and social innovation. However, critics argue that the concept is more about marketing than actual benefits for citizens. Given the limitations of conventional and formalized e-participation and smart city procedures, we highlight the value of shared citizen knowledge …
German Corona Protest Mobilizers on Telegram and Their Relations to the Far Right: A Network and Topic Analysis
The Querdenken movement, the leading force behind German corona protests, is suspected of being a gateway to far-right attitudes due to radicalizing inward-oriented communication on Telegram. To investigate potential connections of this movement to the far right and alternative media-and to explore key topics of the Querdenken network over time-we analyzed 6,294,955 messages from 578 public Telegram channels via network analysis and structural to…
You Want This Job? Influence and Interplay of Self-Generated Text and Picture Cues in Professional Networking Service Profiles on Expertise Evaluation
Job applicants’ self-presentation in their profiles on professional networking services (PNS), such as LinkedIn, may be crucial for the evaluation of their expertise for a job. Importantly, on PNS profiles, self-generated picture-based and text-based cues are shown together, and both may influence expertise evaluations. In three experiments, we systematically analyzed impression formation in the context of PNS profiles by investigating the influe…
The growing field of interdisciplinary research on user comments: A computational scoping review
Online user comments (UCs) as the most popular type of online audience participation nowadays form a popular and important field of research. The widespread examination of UCs across different disciplines leads to a variety of terms and constructs and thus a missing clarity about the discussed topics. With this computational scoping review, we uncovered six relevant, overarching topics and their development in the field. Due to the combination of…
What Is Important When We Evaluate Movies? Insights from Computational Analysis of Online Reviews
The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research ha…
The Associations Between Online Media Use and Users’ Perceived Social Resources: A Meta-Analysis
Conflicting findings have emerged from the large number of studies on the relationship of online media use (OMU) and users' perceived social resources (PSR). In contrast to the numerous primary studies, a comprehensive meta-analysis on the relationship between the use of different online media and PSR has been lacking to date. The findings presented are based on 342 effect sizes from 63 studies and represent data from over 35,500 individuals. The…
Mediale Sichtbarkeit der WahlbewerberInnen und der Themen der Bundestagswahl 2013
Über das Herstellen bzw. Verstärken von Issue Ownerships zu aktuell relevanten Themen können PolitikerInnen ein Vorteil bei der Wahl erzielen - vorausgesetzt, sie sind überhaupt in der Berichterstattung präsent. Ziel der vorliegenden Arbeit ist es, die Verbindung zwischen den Themen der Berichterstattung und der medialen Sichtbarkeit der WahlbewerberInnen im Vorfeld der Bundestagswahl 2013 zu beleuchten. Eine Vollerhebung der Online-Politikberich…
Online-Mediennutzung und wahrgenommene soziale Ressourcen
Online-Mediennutzung und Wahrgenommene Soziale Ressourcen: Eine Metaanalyse
“And all of a sudden my life was gone…”: A biographical analysis of highly engaged adult gamers
Highly engaged gaming and its potentially adverse effects have been the subject of ongoing debate in media and science, most commonly in relation to problematic playing behaviours among adolescents. Although adult gamers are also known to be vulnerable to addictive playing behaviours, this aspect of highly engaged gaming among adults has rarely been investigated. To address this issue, biographical interviews were conducted with 35 adult gamers t…
Internationalisierung und Journalisierung der deutschen Kommunikationswissenschaft
In this study, we investigated the extent to which the citation behavior of the German communication science community has internationalized between 1963 and 2012 and if the citation of journal articles has become increasingly important. Using citation analysis, we examined the language and the publication mold of all scientific references in a random sample of 246 articles from the German communication science journals Publizistik and M&K/RuF. W…
Go for games: Managerial career networks in creative industries
The digital games industry has developed from a secondary sector of the media entertainment industry to one of its major driving forces. Despite its economic relevance, it is still a transitional industry with quickly evolving structures. As such, it is also an interesting object for the analysis of the development of media industries. The current study uses a combination of social network analysis and expert interviews to map the emerging networ…
The Associations Between Online Media Use and Users’ Perceived Social Resources: A Meta-Analysis
Conflicting findings have emerged from the large number of studies on the relationship of online media use (OMU) and users' perceived social resources (PSR). In contrast to the numerous primary studies, a comprehensive meta-analysis on the relationship between the use of different online media and PSR has been lacking to date. The findings presented are based on 342 effect sizes from 63 studies and represent data from over 35,500 individuals. The…
German Corona Protest Mobilizers on Telegram and Their Relations to the Far Right: A Network and Topic Analysis
The Querdenken movement, the leading force behind German corona protests, is suspected of being a gateway to far-right attitudes due to radicalizing inward-oriented communication on Telegram. To investigate potential connections of this movement to the far right and alternative media-and to explore key topics of the Querdenken network over time-we analyzed 6,294,955 messages from 578 public Telegram channels via network analysis and structural to…
Internationalisierung und Journalisierung der deutschen Kommunikationswissenschaft
In this study, we investigated the extent to which the citation behavior of the German communication science community has internationalized between 1963 and 2012 and if the citation of journal articles has become increasingly important. Using citation analysis, we examined the language and the publication mold of all scientific references in a random sample of 246 articles from the German communication science journals Publizistik and M&K/RuF. W…
Classification bias of LLMs in detecting incivility towards female and male politicians in German social media discourse
The growing field of interdisciplinary research on user comments: A computational scoping review
Online user comments (UCs) as the most popular type of online audience participation nowadays form a popular and important field of research. The widespread examination of UCs across different disciplines leads to a variety of terms and constructs and thus a missing clarity about the discussed topics. With this computational scoping review, we uncovered six relevant, overarching topics and their development in the field. Due to the combination of…
Go for games: Managerial career networks in creative industries
The digital games industry has developed from a secondary sector of the media entertainment industry to one of its major driving forces. Despite its economic relevance, it is still a transitional industry with quickly evolving structures. As such, it is also an interesting object for the analysis of the development of media industries. The current study uses a combination of social network analysis and expert interviews to map the emerging networ…
“And all of a sudden my life was gone…”: A biographical analysis of highly engaged adult gamers
Highly engaged gaming and its potentially adverse effects have been the subject of ongoing debate in media and science, most commonly in relation to problematic playing behaviours among adolescents. Although adult gamers are also known to be vulnerable to addictive playing behaviours, this aspect of highly engaged gaming among adults has rarely been investigated. To address this issue, biographical interviews were conducted with 35 adult gamers t…
Internationalisierung und Journalisierung der deutschen Kommunikationswissenschaft
In this study, we investigated the extent to which the citation behavior of the German communication science community has internationalized between 1963 and 2012 and if the citation of journal articles has become increasingly important. Using citation analysis, we examined the language and the publication mold of all scientific references in a random sample of 246 articles from the German communication science journals Publizistik and M&K/RuF. W…
Online-Mediennutzung und wahrgenommene soziale Ressourcen
Online-Mediennutzung und Wahrgenommene Soziale Ressourcen: Eine Metaanalyse
Mediale Sichtbarkeit der WahlbewerberInnen und der Themen der Bundestagswahl 2013
Über das Herstellen bzw. Verstärken von Issue Ownerships zu aktuell relevanten Themen können PolitikerInnen ein Vorteil bei der Wahl erzielen - vorausgesetzt, sie sind überhaupt in der Berichterstattung präsent. Ziel der vorliegenden Arbeit ist es, die Verbindung zwischen den Themen der Berichterstattung und der medialen Sichtbarkeit der WahlbewerberInnen im Vorfeld der Bundestagswahl 2013 zu beleuchten. Eine Vollerhebung der Online-Politikberich…
The Associations Between Online Media Use and Users’ Perceived Social Resources: A Meta-Analysis
Conflicting findings have emerged from the large number of studies on the relationship of online media use (OMU) and users' perceived social resources (PSR). In contrast to the numerous primary studies, a comprehensive meta-analysis on the relationship between the use of different online media and PSR has been lacking to date. The findings presented are based on 342 effect sizes from 63 studies and represent data from over 35,500 individuals. The…
What Is Important When We Evaluate Movies? Insights from Computational Analysis of Online Reviews
The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptualized as mental representations of important attitudes toward specific film features. Based on exploratory and confirmatory factor analyses of self-report data from online surveys, previous research ha…
The growing field of interdisciplinary research on user comments: A computational scoping review
Online user comments (UCs) as the most popular type of online audience participation nowadays form a popular and important field of research. The widespread examination of UCs across different disciplines leads to a variety of terms and constructs and thus a missing clarity about the discussed topics. With this computational scoping review, we uncovered six relevant, overarching topics and their development in the field. Due to the combination of…
You Want This Job? Influence and Interplay of Self-Generated Text and Picture Cues in Professional Networking Service Profiles on Expertise Evaluation
Job applicants’ self-presentation in their profiles on professional networking services (PNS), such as LinkedIn, may be crucial for the evaluation of their expertise for a job. Importantly, on PNS profiles, self-generated picture-based and text-based cues are shown together, and both may influence expertise evaluations. In three experiments, we systematically analyzed impression formation in the context of PNS profiles by investigating the influe…
Mapping a Dark Space: Challenges in Sampling and Classifying Non- Institutionalized Actors on Telegram
Crafted as an open communication platform characterized by high anonymity and minimal moderation, Telegram has garnered increasing popularity among activists operating within repressive political contexts, as well as among political extremists and conspiracy theorists. While Telegram offers valuable data access to research non-institutionalized activism, scholars studying the latter on Telegram face unique theoretical and methodological challenge…
Goodbye, Gender Stereotypes? Trait Attributions to Politicians in 11 Years of News Coverage
In this study, we examine gender differences in political news coverage to determine whether the media employ stereotypical traits in portrayals of 1,095 U.S. politicians. Using a sample of over 5 million U.S. news stories published from 2010 to 2020, we study the media’s attribution of gender-linked ( feminine, masculine) and political ( leadership, competence, integrity, empathy) traits to U.S. politicians and present new longitudinal evidence …
A global health crisis with divided research traditions? A comparative review of Brazilian and international research in communication on the Covid-19 pandemic
The COVID-19 pandemic resulted in substantial international scientific research from high-income countries, with fewer contributions from low- and middle-income countries (LMIC). Utilizing a field theory approach, we contend that these output variations may underscore challenges faced by LMIC researchers in obtaining international academic recognition. Through a systematic review of Brazilian and international Communication research during the pa…
The computational turn in online mental health research: A systematic review
Digital trace data and computational methods are increasingly being used by researchers to study mental health phenomena (i.e. psychopathology and well-being) in social media. Computer-assisted mental health research is not simply a continuation of previous studies, but rather raises ethical, conceptual and methodological issues that are critical to behavioural science but have not yet been systematically explored. Based on a systematic review of…
Exploring citizen discussions’ potential to inform smart city agendas: Insights from German-city-centered online communities
With more than 50% of the world’s population living in urban areas, the smart city concept has been introduced as a solution to urbanization problems, with a focus on technological and social innovation. However, critics argue that the concept is more about marketing than actual benefits for citizens. Given the limitations of conventional and formalized e-participation and smart city procedures, we highlight the value of shared citizen knowledge …
German Corona Protest Mobilizers on Telegram and Their Relations to the Far Right: A Network and Topic Analysis
The Querdenken movement, the leading force behind German corona protests, is suspected of being a gateway to far-right attitudes due to radicalizing inward-oriented communication on Telegram. To investigate potential connections of this movement to the far right and alternative media-and to explore key topics of the Querdenken network over time-we analyzed 6,294,955 messages from 578 public Telegram channels via network analysis and structural to…
Still facing the ‘paper ceiling’? Exploring gender differences in political news coverage of the last decade
In the present study, we investigate gender bias against politicians in a large set of news articles ( n = 1,139,571) published in major media outlets in the United States between 2010 and 2020 by tracing changes in reporting about 1,095 US politicians. Using topic modeling with latent Dirichlet allocation (LDA), we identify main policy-related topics in media reports. We find gender differences in the coverage of certain policy issues, with majo…
Quantity or quality? Comparing social media data sampling strategies for government crisis communication research
Social media platforms are popular data sources for communication research, with X (formerly Twitter) being the most commonly used. However, strategies for high-quality social media data collection that form the cornerstone of rigorous research are rarely discussed or evaluated. In this paper, we use a case study of government crisis communication during Covid-19 in Germany and Italy to compare deductive and inductive sampling strategies on X in …
Classification bias of LLMs in detecting incivility towards female and male politicians in German social media discourse
Multilevel government crisis communication on social media: A comparative and longitudinal approach
Agenda-setting is an important way for the government to capture public attention. Different government branches, with their specific target audiences, may have different agenda prioritization strategies. In the current study, we compared the agenda-setting process across seven countries and three levels of government branches during the COVID-19 pandemic. We employed a multilingual topic model to extract the agendas from social media data. Our r…
Do Women Write More About Women? The Impact of Journalist Gender on the Media Visibility of Female and Male Politicians
The representation of women in politics and political journalism remains disproportionately low. This paper argues that these disparities are interconnected, as individual journalists exhibit a same-gender preference when deciding who to cover. Since journalists are key gatekeepers in the selection and dissemination of news, gender-based differences in reporting can contribute to the limited media visibility of female politicians. Drawing on more…
Moving from Offline to Online: How Covid-19 Affected Research in the Social and Behavioral Sciences
During the COVID-19 pandemic, researchers have faced a lot of challenges related to their daily work. This article introduces a special issue of the American Behavioral Scientist , which particularly focuses on methodological challenges caused by the COVID-19 pandemic. Based on a brief review of the literature as well as the studies in this issue, we argue that the pandemic has sparked significant methodological innovations with respect to design…
The language similarity between corona protest mobilizers on Telegram and German politicians on Twitter
Protest movements against COVID-19 containment measures, like Germany’s Querdenken, aim to put their position on the political agenda. The German far-right party Alternative for Germany (AfD) acted as an arm of Querdenken in the federal parliament, but the role of other parties remains unclear. The current paper explores Querdenken’s ability to stimulate the discourse in the political arena. We investigated language similarity between Querdenken …
Crisis, country, and party lines: Politicians’ Misinformation Behavior and Public Engagement
Politicians with large media visibility and social media audiences have a significant influence on public discourse. Consequently, their dissemination of misinformation can have profound implications for society. This study investigated the misinformation-sharing behavior of 3277 politicians and associated public engagement by using data from X (formerly Twitter) during 2020–2021. The analysis was grounded in a novel and comprehensive dataset inc…
Computer Science (11 works) · Political science (11 works) · Social Media and Politics (10 works) · Sociology (9 works) · Psychology (7 works) · Politics (6 works) · Public relations (6 works) · Social media (6 works) · Law (5 works) · Computational and Text Analysis Methods (4 works)