Jürgen Pfeffer
Biographic Data
| ID | 3650711 |
|---|---|
| NAME | Jürgen Pfeffer |
| GIVEN NAMES | Jürgen |
| FAMILY NAME | Pfeffer |
| SIGNATURE | PFEFFER J |
| AFFILIATIONS | Technical University of Munich |
| ORCID | 0000-0002-1677-150X |
| VERIFIED | Yes |
| TOTAL WORKS | 25 |
| TOTAL CITATIONS | 22 |
| WORKS AS AUTHOR | 25 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Predicting member churn in dynamic groups
Predicting churn in dynamic groups remains a challenge in the field of social network analysis and group behavior modeling. While previous research has focused predominantly on static networks or individual-level predictors, the complex interplay of group dynamics over time is still underexplored. This work proposes a multidimensional framework for analyzing and predicting member churn in dynamic groups by integrating structural and temporal dime…
Populism over partisanship on TikTok
Introduction TikTok's significance for political expression has steadily increased in recent years. Previous research on the platform has primarily focused on its use by political actors, with a smaller sample size. In this study, the emphasis shifts away from institutional actors toward user behavior. Methods By studying their online interactions with political accounts on the platform, we ask: “What do users prioritize: populism or policy align…
Online misogyny against female candidates in the 2022 Brazilian elections
Technology-facilitated gender-based violence has become a global threat to women’s political representation and democracy. Understanding how online hate affects its targets is thus paramount. We analyze 10 million Tweets directed at female candidates in the Brazilian election in 2022 and examine their reactions to online misogyny. Using a self-trained machine learning classifier to detect Portuguese misogynistic Tweets and a quantitative analysis…
Identifying stages in the lifespan of dynamic groups
Spatial dynamics in collective identity
Exploring food poverty experiences in the German Twitter-Sphere
This study contributes methodologically by presenting an approach for extracting food-related textual social media data and empirically by providing novel insights into the perceptions and multifaceted manifestations of food poverty in Germany. The results can aid in a better understanding of the phenomenon of food poverty as it currently manifests in Germany, and in developing targeted social, health-promoting, and political measures that addres…
Predicting political attitudes from web tracking data
Anecdotal evidence suggests that the surge of populism and subsequent political polarization might make voters' political preferences more detectable from digital trace data.This potential scenario could expose voters to the risk of being targeted and easily influenced by political actors.This study investigates the linkage between over 19,000,000 website visits, tracked from 1,003 users in Germany, and their survey responses to explore whether w…
ChatGPT for good? On opportunities and challenges of large language models for education
Talking About Torture
This study investigates differences in torture-related witness statements during the Khmer Rouge Tribunal. It follows a three-phased sequential mixed methods design to identify disparities between testimonies of former detainees and interrogators and to examine how different methods complement each other for a comprehensive perspective on witness accounts. This includes training a natural language processing (NLP) model, sentiment analysis (SA), …
Keeping track in classroom discourse
This article adds to the understanding of teachers' professional vision by analyzing their gaze in an instructional situation of whole-class discourse using on-action eye-tracking data. We investigated the relationship between pre-service and in-service teachers' attentional processes and students' hand-raising behavior. We found that teachers' attentional processes were positively related to the number of hand-raisings, and that in-service teach…
(Social) Media Logics and Visualizing Climate Change
Images have become a key vehicle for communicating climate change, especially in a visually oriented social media ecosystem. However, few studies have examined the ways in which climate change is visually communicated on those platforms. This study addresses that gap by examining more than 2 million images appearing alongside tweets containing #climatechange, identifying the types of images different stakeholders share and the amount of engagemen…
Identifying lexical change in negative word-of-mouth on social media
Negative word-of-mouth is a strong consumer and user response to dissatisfaction. Moral outrages can create an excessive collective aggressiveness against one single argument, one single word, or one action of a person resulting in hateful speech. In this work, we examine the change of vocabulary to explore the outbreak of online firestorms on Twitter. The sudden change of an emotional state can be captured in language. It reveals how people conn…
A community matching based approach to measuring layer similarity in multilayer networks
Diffusion dynamics of influence in a social network of intellectuals
The history of intellectuals consists of a complex web of influences and interconnections of philosophers, scientists, writers, their work, and ideas. To understand how did these influences evolve over time, we mined a network of influence of over 12,500 intellectuals, enriched it with a temporal dimension dividing the history into six eras. We analyze time-sliced projections of the network into within-era, inter-era, and accumulated-era networks…
Measuring political legitimacy with Twitter
As emerging powers forge ahead with big data initiatives, questions arise regarding the implications of these programs for governance in the Global South more broadly. One understudied aspect deals with how actors attribute legitimacy to governments’ big data activities. We explore actors’ agency in one crucial case: the world’s largest demographic and biometric data program, India’s Aadhaar. Analyzing roughly 250,000 tweets collected in the firs…
Shortest path-based centrality metrics in attributed graphs with node-individual context constraints
Configuration to conviction
Improving team performance prediction in MMOGs with temporal communication networks
Virtual teams are becoming increasingly important. Since they are digital in nature, their "trace data" enable a broad set of new research opportunities. Online Games are especially useful for studying social behavior patterns of collaborative teams. In our study, we used longitudinal data from the massively multiplayer online game Travian collected over a 12-month period that included 4753 teams with 18,056 individuals and their communication ne…
Collecting egocentric network data with visual tools
When collecting egocentric network data, visual representations of networks can function as a cognitive aid for depicting relationships, helping to maintain an overview of the relationships, and keeping the attention of the interviewees. Additionally, network maps can serve as a narration generator in qualitative and in mixed-methods studies. While varying visual instruments are used for collecting egocentric network data, little is known about d…
Policy visions of big data
Government intentions stand at the heart of debates about how big data can and should be used in the Global South. This paper provides new insights by examining the political and economic visions promoted by emerging power governments in Brazil, India and China (the BICs). Doing so is crucial as these countries not only comprise some of the world’s largest populations, but have also demonstrated their initiative in national and international prom…
Archiving information from geotagged tweets to promote reproducibility and comparability in social media research
Sharing social media research datasets allows for reproducibility and peer-review, but it is very often difficult or even impossible to achieve due to legal restrictions and can also be ethically questionable. What is more, research data repositories and other research infrastructure and research support institutions are only starting to target social media researchers. In this paper, we present a practical solution to sharing social media data w…
Understanding online firestorms
Social media are, on the one hand, a highly beneficial environment for word-of-mouth (WOM) propagation of new ideas and products, and this has increasingly made them a focus of marketing communications. On the other hand, companies and their brands as well as politicians, governmental institutions, and celebrities have increasingly been facing the impact of negative online WOM and complaint behavior. In reaction to any questionable statement or a…
Social media for large studies of behavior
Large-scale studies of human behavior in social media need to be held to higher methodological standards
Embassies burning
Arab Spring
Collecting egocentric network data with visual tools
When collecting egocentric network data, visual representations of networks can function as a cognitive aid for depicting relationships, helping to maintain an overview of the relationships, and keeping the attention of the interviewees. Additionally, network maps can serve as a narration generator in qualitative and in mixed-methods studies. While varying visual instruments are used for collecting egocentric network data, little is known about d…
(Social) Media Logics and Visualizing Climate Change
Images have become a key vehicle for communicating climate change, especially in a visually oriented social media ecosystem. However, few studies have examined the ways in which climate change is visually communicated on those platforms. This study addresses that gap by examining more than 2 million images appearing alongside tweets containing #climatechange, identifying the types of images different stakeholders share and the amount of engagemen…
Policy visions of big data
Government intentions stand at the heart of debates about how big data can and should be used in the Global South. This paper provides new insights by examining the political and economic visions promoted by emerging power governments in Brazil, India and China (the BICs). Doing so is crucial as these countries not only comprise some of the world’s largest populations, but have also demonstrated their initiative in national and international prom…
Archiving information from geotagged tweets to promote reproducibility and comparability in social media research
Sharing social media research datasets allows for reproducibility and peer-review, but it is very often difficult or even impossible to achieve due to legal restrictions and can also be ethically questionable. What is more, research data repositories and other research infrastructure and research support institutions are only starting to target social media researchers. In this paper, we present a practical solution to sharing social media data w…
Keeping track in classroom discourse
This article adds to the understanding of teachers' professional vision by analyzing their gaze in an instructional situation of whole-class discourse using on-action eye-tracking data. We investigated the relationship between pre-service and in-service teachers' attentional processes and students' hand-raising behavior. We found that teachers' attentional processes were positively related to the number of hand-raisings, and that in-service teach…
A community matching based approach to measuring layer similarity in multilayer networks
Arab Spring
Understanding online firestorms
Social media are, on the one hand, a highly beneficial environment for word-of-mouth (WOM) propagation of new ideas and products, and this has increasingly made them a focus of marketing communications. On the other hand, companies and their brands as well as politicians, governmental institutions, and celebrities have increasingly been facing the impact of negative online WOM and complaint behavior. In reaction to any questionable statement or a…
Social media for large studies of behavior
Large-scale studies of human behavior in social media need to be held to higher methodological standards
Embassies burning
Arab Spring
Archiving information from geotagged tweets to promote reproducibility and comparability in social media research
Sharing social media research datasets allows for reproducibility and peer-review, but it is very often difficult or even impossible to achieve due to legal restrictions and can also be ethically questionable. What is more, research data repositories and other research infrastructure and research support institutions are only starting to target social media researchers. In this paper, we present a practical solution to sharing social media data w…
Policy visions of big data
Government intentions stand at the heart of debates about how big data can and should be used in the Global South. This paper provides new insights by examining the political and economic visions promoted by emerging power governments in Brazil, India and China (the BICs). Doing so is crucial as these countries not only comprise some of the world’s largest populations, but have also demonstrated their initiative in national and international prom…
Collecting egocentric network data with visual tools
When collecting egocentric network data, visual representations of networks can function as a cognitive aid for depicting relationships, helping to maintain an overview of the relationships, and keeping the attention of the interviewees. Additionally, network maps can serve as a narration generator in qualitative and in mixed-methods studies. While varying visual instruments are used for collecting egocentric network data, little is known about d…
Diffusion dynamics of influence in a social network of intellectuals
The history of intellectuals consists of a complex web of influences and interconnections of philosophers, scientists, writers, their work, and ideas. To understand how did these influences evolve over time, we mined a network of influence of over 12,500 intellectuals, enriched it with a temporal dimension dividing the history into six eras. We analyze time-sliced projections of the network into within-era, inter-era, and accumulated-era networks…
Measuring political legitimacy with Twitter
As emerging powers forge ahead with big data initiatives, questions arise regarding the implications of these programs for governance in the Global South more broadly. One understudied aspect deals with how actors attribute legitimacy to governments’ big data activities. We explore actors’ agency in one crucial case: the world’s largest demographic and biometric data program, India’s Aadhaar. Analyzing roughly 250,000 tweets collected in the firs…
Shortest path-based centrality metrics in attributed graphs with node-individual context constraints
Configuration to conviction
Improving team performance prediction in MMOGs with temporal communication networks
Virtual teams are becoming increasingly important. Since they are digital in nature, their "trace data" enable a broad set of new research opportunities. Online Games are especially useful for studying social behavior patterns of collaborative teams. In our study, we used longitudinal data from the massively multiplayer online game Travian collected over a 12-month period that included 4753 teams with 18,056 individuals and their communication ne…
Identifying lexical change in negative word-of-mouth on social media
Negative word-of-mouth is a strong consumer and user response to dissatisfaction. Moral outrages can create an excessive collective aggressiveness against one single argument, one single word, or one action of a person resulting in hateful speech. In this work, we examine the change of vocabulary to explore the outbreak of online firestorms on Twitter. The sudden change of an emotional state can be captured in language. It reveals how people conn…
A community matching based approach to measuring layer similarity in multilayer networks
ChatGPT for good? On opportunities and challenges of large language models for education
Talking About Torture
This study investigates differences in torture-related witness statements during the Khmer Rouge Tribunal. It follows a three-phased sequential mixed methods design to identify disparities between testimonies of former detainees and interrogators and to examine how different methods complement each other for a comprehensive perspective on witness accounts. This includes training a natural language processing (NLP) model, sentiment analysis (SA), …
Keeping track in classroom discourse
This article adds to the understanding of teachers' professional vision by analyzing their gaze in an instructional situation of whole-class discourse using on-action eye-tracking data. We investigated the relationship between pre-service and in-service teachers' attentional processes and students' hand-raising behavior. We found that teachers' attentional processes were positively related to the number of hand-raisings, and that in-service teach…
(Social) Media Logics and Visualizing Climate Change
Images have become a key vehicle for communicating climate change, especially in a visually oriented social media ecosystem. However, few studies have examined the ways in which climate change is visually communicated on those platforms. This study addresses that gap by examining more than 2 million images appearing alongside tweets containing #climatechange, identifying the types of images different stakeholders share and the amount of engagemen…
Exploring food poverty experiences in the German Twitter-Sphere
This study contributes methodologically by presenting an approach for extracting food-related textual social media data and empirically by providing novel insights into the perceptions and multifaceted manifestations of food poverty in Germany. The results can aid in a better understanding of the phenomenon of food poverty as it currently manifests in Germany, and in developing targeted social, health-promoting, and political measures that addres…
Predicting political attitudes from web tracking data
Anecdotal evidence suggests that the surge of populism and subsequent political polarization might make voters' political preferences more detectable from digital trace data.This potential scenario could expose voters to the risk of being targeted and easily influenced by political actors.This study investigates the linkage between over 19,000,000 website visits, tracked from 1,003 users in Germany, and their survey responses to explore whether w…
Identifying stages in the lifespan of dynamic groups
Spatial dynamics in collective identity
Predicting member churn in dynamic groups
Predicting churn in dynamic groups remains a challenge in the field of social network analysis and group behavior modeling. While previous research has focused predominantly on static networks or individual-level predictors, the complex interplay of group dynamics over time is still underexplored. This work proposes a multidimensional framework for analyzing and predicting member churn in dynamic groups by integrating structural and temporal dime…
Populism over partisanship on TikTok
Introduction TikTok's significance for political expression has steadily increased in recent years. Previous research on the platform has primarily focused on its use by political actors, with a smaller sample size. In this study, the emphasis shifts away from institutional actors toward user behavior. Methods By studying their online interactions with political accounts on the platform, we ask: “What do users prioritize: populism or policy align…
Online misogyny against female candidates in the 2022 Brazilian elections
Technology-facilitated gender-based violence has become a global threat to women’s political representation and democracy. Understanding how online hate affects its targets is thus paramount. We analyze 10 million Tweets directed at female candidates in the Brazilian election in 2022 and examine their reactions to online misogyny. Using a self-trained machine learning classifier to detect Portuguese misogynistic Tweets and a quantitative analysis…
Computer Science (18 works) · Political science (9 works) · Psychology (9 works) · Complex Network Analysis Techniques (8 works) · Data science (8 works) · Social media (8 works) · Social Media and Politics (8 works) · Sociology (8 works) · World Wide Web (8 works) · Politics (6 works)