Stefan Stieglitz
Biographic Data
| ID | 355894 |
|---|---|
| NAME | Stefan Stieglitz |
| GIVEN NAMES | Stefan |
| FAMILY NAME | Stieglitz |
| SIGNATURE | STIEGLITZ S |
| AFFILIATIONS | University of Duisburg-Essen |
| ORCID | 0000-0002-4366-1840 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 78 |
| AUTHOR COUNT | 19 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 3 |
Does Scientific Evidence Sell? Combining Manual and Automated Content Analysis to Investigate Scientists’ and Laypeople’s Evidence Practices on Social Media
Examining the dissemination of evidence on social media, we analyzed the discourse around eight visible scientists in the context of COVID-19. Using manual ( N = 1,406) and automated coding ( N = 42,640) on an account-based tracked Twitter/X dataset capturing scientists’ activities and eliciting reactions over six 2-week periods, we found that visible scientists’ tweets included more scientific evidence. However, public reactions contained more a…
Combating misinformation with internet culture
Purpose This study investigates the communication behavior of public health organizations on Twitter during the COVID-19 vaccination campaign in Brazil. It contributes to the understanding of the organizational framing of health communication by showcasing several instances of framing devices that borrow from (Brazilian) internet culture. The investigation of this case extends the knowledge by providing a rich description of the organizational fr…
The rise of artificial intelligence – understanding the AI identity threat at the workplace
Artificial intelligence (AI) is being increasingly integrated into enterprises to foster collaboration within humanmachine teams and assist employees with work-related tasks. However, introducing AI may negatively impact employees’ identifications with their jobs as AI is expected to fundamentally change workplaces and professions, feeding into individuals’ fears of being replaced. To broaden the understanding of the AI identity threat, the findi…
Dynamics of convergence behaviour in social media crisis communication – a complexity perspective
Purpose The purpose of this study is to investigate communication on Twitter during two unpredicted crises (the Manchester bombings and the Munich shooting) and one natural disaster (Hurricane Harvey). The study contributes to understanding the dynamics of convergence behaviour archetypes during crises. Design/methodology/approach The authors collected Twitter data and analysed approximately 7.5 million relevant cases. The communication was exami…
The Impact of Social Media on Social Cohesion
Social media plays a major role in public communication in many countries. Therefore, it has a large impact on societies and their cohesion. This thematic issue explores the impact social media has on social cohesion on a local or national level. The nine articles in this issue focus on both the potential of social media usage to foster social cohesion and the possible drawbacks of social media which could negatively influence the development and…
Artificial intelligence in hospitals
The application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo …
How News Websites Refer to Twitter
The study presents the results of a standardized content analysis comparing the use of Twitter as an information source on the websites of five news media types (quality newspapers, a tabloid newspaper, weekly magazines, broadcasters, and internet only). The theoretical assumption behind the study is that the adoption of Twitter as a source follows the established practices of a particular media type. All articles published online by ten German n…
The Networked Context of Covid-19 Misinformation
More than experience? - On the unique opportunities of virtual reality to afford a holistic experiential learning cycle
Virtual reality has been proposed as a promising technology for higher education since the combination of immersive and interactive features enables experiential learning. However, previous studies did not distinguish between the different learning modes of the four-stage experiential learning cycle (i.e., concrete experience, reflective observation, abstract conceptualization, and active experimentation). With our study, we contribute a deeper u…
Opinionleaders
Social media have become forums of discussions on political and societal debates in which individual users may forward information or influence others. While prior studies either employed network analyses or surveys to identify opinion leaders and their characteristics, the present investigation combines these two approaches to address the relationship between observable and self-perceived influence. For this purpose, a retweet network of Twitter…
Bridging formal barriers in digital work environments – Investigating technology-enabled interactions across organizational hierarchies
Caution
As false information may spread rapidly on social media, a profound understanding of how it can be debunked is required. This study offers empirical insights into the development of rumors after they are debunked, the various user groups who are involved in the process, and their network structures. As crisis situations are highly sensitive to the spread of rumors, Twitter posts from during the 2017 G20 summit are examined. Tweets regarding five …
Silence” as a strategy during a corporate crisis – the case of Volkswagen’s “Dieselgate”
Purpose The purpose of this paper is to investigate the communication behaviour on Twitter during the rise of a preventable corporate crisis. It aims to contribute to situational crisis response strategies, and to broaden the authors’ understanding of legitimacy management. In September 2015, Volkswagen’s (VW) emission scandal became public and caused debates also in social media. By applying complementing tools of data analysis to the Twitter co…
Social media analytics – Challenges in topic discovery, data collection, and data preparation
Since an ever-increasing part of the population makes use of social media in their day-to-day lives, social media data is being analysed in many different disciplines. The social media analytics process involves four distinct steps, data discovery, collection, preparation, and analysis. While there is a great deal of literature on the challenges and difficulties involving specific data analysis methods, there hardly exists research on the stages …
Political Networks
An Investigation of Influentials and the Role of Sentiment in Political Communication on Twitter During Election Periods
In this paper, the authors investigate how Twitter is used for political communication during election periods with a specific focus on characteristics and communication behavior of influential accounts. Our analysis focuses on the state parliament election in Berlin (Germany) on 18 September 2011. Tweets of the top-30 most retweeted users are analyzed with respect to content-related features such as emotionality, appraisal of political parties o…
Towards more systematic Twitter analysis
This is the author’s version of a work that was submitted/accepted for pub-lication in the following source
Social media and political communication
Quantitative Approaches to Comparing Communication Patterns on Twitter
To date, the available literature mainly discusses Twitter activity patterns in the context of individual case studies, while comparative research on a large number of communicative events and their dynamics and patterns is missing. By conducting a comparative study of more than 40 different cases (covering topics such as elections, natural disasters, corporate crises, and televised events) we identify a number of distinct types of discussion tha…
Towards more systematic Twitter analysis
This is the author’s version of a work that was submitted/accepted for pub-lication in the following source
Social media and political communication
How News Websites Refer to Twitter
The study presents the results of a standardized content analysis comparing the use of Twitter as an information source on the websites of five news media types (quality newspapers, a tabloid newspaper, weekly magazines, broadcasters, and internet only). The theoretical assumption behind the study is that the adoption of Twitter as a source follows the established practices of a particular media type. All articles published online by ten German n…
Caution
As false information may spread rapidly on social media, a profound understanding of how it can be debunked is required. This study offers empirical insights into the development of rumors after they are debunked, the various user groups who are involved in the process, and their network structures. As crisis situations are highly sensitive to the spread of rumors, Twitter posts from during the 2017 G20 summit are examined. Tweets regarding five …
Quantitative Approaches to Comparing Communication Patterns on Twitter
To date, the available literature mainly discusses Twitter activity patterns in the context of individual case studies, while comparative research on a large number of communicative events and their dynamics and patterns is missing. By conducting a comparative study of more than 40 different cases (covering topics such as elections, natural disasters, corporate crises, and televised events) we identify a number of distinct types of discussion tha…
An Investigation of Influentials and the Role of Sentiment in Political Communication on Twitter During Election Periods
In this paper, the authors investigate how Twitter is used for political communication during election periods with a specific focus on characteristics and communication behavior of influential accounts. Our analysis focuses on the state parliament election in Berlin (Germany) on 18 September 2011. Tweets of the top-30 most retweeted users are analyzed with respect to content-related features such as emotionality, appraisal of political parties o…
Towards more systematic Twitter analysis
This is the author’s version of a work that was submitted/accepted for pub-lication in the following source
Social media and political communication
Political Networks
Social media analytics – Challenges in topic discovery, data collection, and data preparation
Since an ever-increasing part of the population makes use of social media in their day-to-day lives, social media data is being analysed in many different disciplines. The social media analytics process involves four distinct steps, data discovery, collection, preparation, and analysis. While there is a great deal of literature on the challenges and difficulties involving specific data analysis methods, there hardly exists research on the stages …
Silence” as a strategy during a corporate crisis – the case of Volkswagen’s “Dieselgate”
Purpose The purpose of this paper is to investigate the communication behaviour on Twitter during the rise of a preventable corporate crisis. It aims to contribute to situational crisis response strategies, and to broaden the authors’ understanding of legitimacy management. In September 2015, Volkswagen’s (VW) emission scandal became public and caused debates also in social media. By applying complementing tools of data analysis to the Twitter co…
Bridging formal barriers in digital work environments – Investigating technology-enabled interactions across organizational hierarchies
Caution
As false information may spread rapidly on social media, a profound understanding of how it can be debunked is required. This study offers empirical insights into the development of rumors after they are debunked, the various user groups who are involved in the process, and their network structures. As crisis situations are highly sensitive to the spread of rumors, Twitter posts from during the 2017 G20 summit are examined. Tweets regarding five …
The Networked Context of Covid-19 Misinformation
More than experience? - On the unique opportunities of virtual reality to afford a holistic experiential learning cycle
Virtual reality has been proposed as a promising technology for higher education since the combination of immersive and interactive features enables experiential learning. However, previous studies did not distinguish between the different learning modes of the four-stage experiential learning cycle (i.e., concrete experience, reflective observation, abstract conceptualization, and active experimentation). With our study, we contribute a deeper u…
Opinionleaders
Social media have become forums of discussions on political and societal debates in which individual users may forward information or influence others. While prior studies either employed network analyses or surveys to identify opinion leaders and their characteristics, the present investigation combines these two approaches to address the relationship between observable and self-perceived influence. For this purpose, a retweet network of Twitter…
The rise of artificial intelligence – understanding the AI identity threat at the workplace
Artificial intelligence (AI) is being increasingly integrated into enterprises to foster collaboration within humanmachine teams and assist employees with work-related tasks. However, introducing AI may negatively impact employees’ identifications with their jobs as AI is expected to fundamentally change workplaces and professions, feeding into individuals’ fears of being replaced. To broaden the understanding of the AI identity threat, the findi…
Dynamics of convergence behaviour in social media crisis communication – a complexity perspective
Purpose The purpose of this study is to investigate communication on Twitter during two unpredicted crises (the Manchester bombings and the Munich shooting) and one natural disaster (Hurricane Harvey). The study contributes to understanding the dynamics of convergence behaviour archetypes during crises. Design/methodology/approach The authors collected Twitter data and analysed approximately 7.5 million relevant cases. The communication was exami…
The Impact of Social Media on Social Cohesion
Social media plays a major role in public communication in many countries. Therefore, it has a large impact on societies and their cohesion. This thematic issue explores the impact social media has on social cohesion on a local or national level. The nine articles in this issue focus on both the potential of social media usage to foster social cohesion and the possible drawbacks of social media which could negatively influence the development and…
Artificial intelligence in hospitals
The application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo …
How News Websites Refer to Twitter
The study presents the results of a standardized content analysis comparing the use of Twitter as an information source on the websites of five news media types (quality newspapers, a tabloid newspaper, weekly magazines, broadcasters, and internet only). The theoretical assumption behind the study is that the adoption of Twitter as a source follows the established practices of a particular media type. All articles published online by ten German n…
Combating misinformation with internet culture
Purpose This study investigates the communication behavior of public health organizations on Twitter during the COVID-19 vaccination campaign in Brazil. It contributes to the understanding of the organizational framing of health communication by showcasing several instances of framing devices that borrow from (Brazilian) internet culture. The investigation of this case extends the knowledge by providing a rich description of the organizational fr…
Does Scientific Evidence Sell? Combining Manual and Automated Content Analysis to Investigate Scientists’ and Laypeople’s Evidence Practices on Social Media
Examining the dissemination of evidence on social media, we analyzed the discourse around eight visible scientists in the context of COVID-19. Using manual ( N = 1,406) and automated coding ( N = 42,640) on an account-based tracked Twitter/X dataset capturing scientists’ activities and eliciting reactions over six 2-week periods, we found that visible scientists’ tweets included more scientific evidence. However, public reactions contained more a…
Political science (15 works) · Computer Science (14 works) · Social media (13 works) · Social Media and Politics (11 works) · Sociology (11 works) · Psychology (10 works) · World Wide Web (10 works) · Public relations (9 works) · Business (6 works) · Politics (6 works)