Tobias R Keller
Biographic Data
| ID | 2744699 |
|---|---|
| NAME | Tobias R Keller |
| GIVEN NAMES | Tobias R |
| FAMILY NAME | Keller |
| SIGNATURE | KELLER T R |
| AFFILIATIONS | University of Zurich |
| ORCID | 0000-0001-5263-4812 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 84 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 5 |
Shareworthiness and Motivated Reasoning in Hyper-Partisan News Sharing Behavior on Twitter
While news sharing by ordinary social media users has received growing attention, hyper-partisan news sharing, which has been closely associated with misinformation circulation, has received less attention. In this study, we investigate hyper-partisan news sharing from two perspectives: (1) the features that make hyper-partisan news share-worthy, as well as (2) the user motivations that drive the sharing process. We scrutinize one week’s content …
Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018)
Climate change poses a challenge to countries across the world, with news media being an important source of information on the issue. To understand how and how much news media cover climate change, this study compares coverage in ten countries from the Global North and the Global South between 2006 and 2018 (N = 71,674). Based on a panel analysis, we illustrate that news media attention varies across countries and is often associated with politi…
Bot, or not? Comparing three methods for detecting social bots in five political discourses
Social bots - partially or fully automated accounts on social media platforms - have not only been widely discussed, but have also entered political, media and research agendas. However, bot detection is not an exact science. Quantitative estimates of bot prevalence vary considerably and comparative research is rare. We show that findings on the prevalence and activity of bots on Twitter depend strongly on the methods used to identify automated a…
‘Coordinated Inauthentic Behaviour’ and Other Online Influence Operations in Social Media Spaces
Recently, major social media platforms such as Facebook and Twitter have announced efforts to counter "coordinated inauthentic behaviour." However, scholarly research continues to provide evidence that coordinated human and automated accounts covertly seek to undermine and manipulate public debates on these platforms. Given the difficulties in obtaining data from these platforms to study these influence operations, and the significant challenge o…
Investigating Bots and Coordinated Influence Campaigns in Twitter Discussions of the 2019-20 Iran Protests
Twitter has been a vital platform for organizing, coordinating, and amplifying voices during protests, especially in non-democratic countries. Although it is a globally used platform for protest movements, many studies focus on English-speaking and democratic countries. We overcome this research gap by investigating Persian, English, and Arabic tweets during the 2019-2020 protests in Iran. In this work-in-progress paper, we collected approximatel…
News Media Coverage of Climate Change in India 1997–2016: Using Automated Content Analysis to Assess Themes and Topics
News media play an important role for public awareness and perception of climate change – and thus citizens’ behavior. Few studies focus on media coverage in poor and developing countries such as India – the third-largest polluter and an important player in global climate change policies. Further, even these few studies on Indian media coverage span short time periods, focus on specific events, and evaluate pre-defined themes. Applying LDA topic …
Social Bots in Election Campaigns: Theoretical, Empirical, and Methodological Implications
Social bots mimic and potentially manipulate humans and their behaviours in social networks. The public sphere might be especially vulnerable to their impacts, which is why we first discuss their potential influence on the public sphere from a theoretical perspective. From an empirical perspective, we analyzed Twitter followers of seven German parties before (N = 638,674) and during (N = 838,026) the 2017 electoral campaigns regarding bot prevale…
Pseudo-discursive, mobilizing, emotional, and entertaining: Identifying four successful communication styles of political actors on social media during the 2015 Swiss national elections
Political actors are adapting their communication styles to the network media logic of social media platforms with varying success. This study investigates the communication styles used during the Swiss national election 2015 and their success in triggering digital reactions. In a quantitative content analysis of the “top 20” most reacted to messages on Facebook (n = 2170) and Twitter (N = 1796) of 246 Swiss parliamentarians and 11 parties we ana…
Followers, Spread the Message! Predicting the Success of Swiss Politicians on Facebook and Twitter
Politicians have been criticized for not exploiting the deliberative potential of social media platforms. We complement previous definitions of politicians' success on social media through the lens of network media logic: Despite the lack of deliberation, some succeed in building large digital followerships, which spread their messages via reactions through the network. Analyzing a data set of personal, structural, and social media characteristic…
What It Takes and Costs To Be an Ambidextrous Manager: Linking Leadership and Cognitive Strain to Balancing Exploration and Exploitation
We contribute to the undeveloped understanding of ambidexterity at the individual level by studying how leadership is related to individual ambidexterity and how this is related to cognitive strain. Data from 179 managers indicate a positive interrelation between superiors’ transformational leadership and individual ambidexterity. We also find a manager’s level of ambidexterity to be positively related to cognitive strain. This relationship is po…
Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018)
Climate change poses a challenge to countries across the world, with news media being an important source of information on the issue. To understand how and how much news media cover climate change, this study compares coverage in ten countries from the Global North and the Global South between 2006 and 2018 (N = 71,674). Based on a panel analysis, we illustrate that news media attention varies across countries and is often associated with politi…
Social Bots in Election Campaigns: Theoretical, Empirical, and Methodological Implications
Social bots mimic and potentially manipulate humans and their behaviours in social networks. The public sphere might be especially vulnerable to their impacts, which is why we first discuss their potential influence on the public sphere from a theoretical perspective. From an empirical perspective, we analyzed Twitter followers of seven German parties before (N = 638,674) and during (N = 838,026) the 2017 electoral campaigns regarding bot prevale…
Pseudo-discursive, mobilizing, emotional, and entertaining: Identifying four successful communication styles of political actors on social media during the 2015 Swiss national elections
Political actors are adapting their communication styles to the network media logic of social media platforms with varying success. This study investigates the communication styles used during the Swiss national election 2015 and their success in triggering digital reactions. In a quantitative content analysis of the “top 20” most reacted to messages on Facebook (n = 2170) and Twitter (N = 1796) of 246 Swiss parliamentarians and 11 parties we ana…
Followers, Spread the Message! Predicting the Success of Swiss Politicians on Facebook and Twitter
Politicians have been criticized for not exploiting the deliberative potential of social media platforms. We complement previous definitions of politicians' success on social media through the lens of network media logic: Despite the lack of deliberation, some succeed in building large digital followerships, which spread their messages via reactions through the network. Analyzing a data set of personal, structural, and social media characteristic…
Bot, or not? Comparing three methods for detecting social bots in five political discourses
Social bots - partially or fully automated accounts on social media platforms - have not only been widely discussed, but have also entered political, media and research agendas. However, bot detection is not an exact science. Quantitative estimates of bot prevalence vary considerably and comparative research is rare. We show that findings on the prevalence and activity of bots on Twitter depend strongly on the methods used to identify automated a…
What It Takes and Costs To Be an Ambidextrous Manager: Linking Leadership and Cognitive Strain to Balancing Exploration and Exploitation
We contribute to the undeveloped understanding of ambidexterity at the individual level by studying how leadership is related to individual ambidexterity and how this is related to cognitive strain. Data from 179 managers indicate a positive interrelation between superiors’ transformational leadership and individual ambidexterity. We also find a manager’s level of ambidexterity to be positively related to cognitive strain. This relationship is po…
What It Takes and Costs To Be an Ambidextrous Manager: Linking Leadership and Cognitive Strain to Balancing Exploration and Exploitation
We contribute to the undeveloped understanding of ambidexterity at the individual level by studying how leadership is related to individual ambidexterity and how this is related to cognitive strain. Data from 179 managers indicate a positive interrelation between superiors’ transformational leadership and individual ambidexterity. We also find a manager’s level of ambidexterity to be positively related to cognitive strain. This relationship is po…
Pseudo-discursive, mobilizing, emotional, and entertaining: Identifying four successful communication styles of political actors on social media during the 2015 Swiss national elections
Political actors are adapting their communication styles to the network media logic of social media platforms with varying success. This study investigates the communication styles used during the Swiss national election 2015 and their success in triggering digital reactions. In a quantitative content analysis of the “top 20” most reacted to messages on Facebook (n = 2170) and Twitter (N = 1796) of 246 Swiss parliamentarians and 11 parties we ana…
Followers, Spread the Message! Predicting the Success of Swiss Politicians on Facebook and Twitter
Politicians have been criticized for not exploiting the deliberative potential of social media platforms. We complement previous definitions of politicians' success on social media through the lens of network media logic: Despite the lack of deliberation, some succeed in building large digital followerships, which spread their messages via reactions through the network. Analyzing a data set of personal, structural, and social media characteristic…
Social Bots in Election Campaigns: Theoretical, Empirical, and Methodological Implications
Social bots mimic and potentially manipulate humans and their behaviours in social networks. The public sphere might be especially vulnerable to their impacts, which is why we first discuss their potential influence on the public sphere from a theoretical perspective. From an empirical perspective, we analyzed Twitter followers of seven German parties before (N = 638,674) and during (N = 838,026) the 2017 electoral campaigns regarding bot prevale…
‘Coordinated Inauthentic Behaviour’ and Other Online Influence Operations in Social Media Spaces
Recently, major social media platforms such as Facebook and Twitter have announced efforts to counter "coordinated inauthentic behaviour." However, scholarly research continues to provide evidence that coordinated human and automated accounts covertly seek to undermine and manipulate public debates on these platforms. Given the difficulties in obtaining data from these platforms to study these influence operations, and the significant challenge o…
Investigating Bots and Coordinated Influence Campaigns in Twitter Discussions of the 2019-20 Iran Protests
Twitter has been a vital platform for organizing, coordinating, and amplifying voices during protests, especially in non-democratic countries. Although it is a globally used platform for protest movements, many studies focus on English-speaking and democratic countries. We overcome this research gap by investigating Persian, English, and Arabic tweets during the 2019-2020 protests in Iran. In this work-in-progress paper, we collected approximatel…
News Media Coverage of Climate Change in India 1997–2016: Using Automated Content Analysis to Assess Themes and Topics
News media play an important role for public awareness and perception of climate change – and thus citizens’ behavior. Few studies focus on media coverage in poor and developing countries such as India – the third-largest polluter and an important player in global climate change policies. Further, even these few studies on Indian media coverage span short time periods, focus on specific events, and evaluate pre-defined themes. Applying LDA topic …
Shareworthiness and Motivated Reasoning in Hyper-Partisan News Sharing Behavior on Twitter
While news sharing by ordinary social media users has received growing attention, hyper-partisan news sharing, which has been closely associated with misinformation circulation, has received less attention. In this study, we investigate hyper-partisan news sharing from two perspectives: (1) the features that make hyper-partisan news share-worthy, as well as (2) the user motivations that drive the sharing process. We scrutinize one week’s content …
Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018)
Climate change poses a challenge to countries across the world, with news media being an important source of information on the issue. To understand how and how much news media cover climate change, this study compares coverage in ten countries from the Global North and the Global South between 2006 and 2018 (N = 71,674). Based on a panel analysis, we illustrate that news media attention varies across countries and is often associated with politi…
Bot, or not? Comparing three methods for detecting social bots in five political discourses
Social bots - partially or fully automated accounts on social media platforms - have not only been widely discussed, but have also entered political, media and research agendas. However, bot detection is not an exact science. Quantitative estimates of bot prevalence vary considerably and comparative research is rare. We show that findings on the prevalence and activity of bots on Twitter depend strongly on the methods used to identify automated a…
Political science (8 works) · Computer Science (7 works) · Politics (6 works) · Social media (6 works) · Sociology (6 works) · Law (5 works) · Misinformation and Its Impacts (5 works) · Psychology (5 works) · Public relations (5 works) · Social Media and Politics (5 works)