Aniko Hannak
Dados Biográficos
| ID | 4232322 |
|---|---|
| NOME | Aniko Hannak |
| PRENOMES | Aniko |
| SOBRENOME | Hannak |
| ASSINATURA | HANNAK A |
| AFILIAÇÕES | University of Zurich |
| ORCID | 0000-0002-0612-6320 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAÇÕES | 55 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Rethinking search intent
This study examines the limitations of traditional search intent frameworks in the evolving landscape of digital information retrieval. We argue that Broder's (2002) widely used taxonomy of informational, navigational, and transactional intent fails to capture contemporary search behaviors due to two major shifts: first, traditional search engines have evolved from simple hyperlink providers into platforms offering rich snippets and direct answer…
Auditing the bias of conversational AI systems in occupational recommendations
Recent research has utilized resumes and occupational profiles to identify and quantify discrimination within conversational AI systems. We extend this concept by proposing a novel approach to quantification which leverages Holland’s theory of occupational interests to provide a more holistic interpretation of discrimination in these systems. Building upon the seminal work of Bertrand and Mullainathan (Am Econ Rev 94(4):991–1013, 2004), which exa…
A Balancing Act
News recommender systems (NRS), the algorithmic automation and personalization of news recommendations, may benefit both media producers and users. Yet, they raise concerns about the quality, diversity, and responsibility of journalism. Despite growing research, empirical investigations on news media’s employment of NRS have remained scarce, particularly in small media markets and across different organizational types. To better understand how an…
User Perceptions of News Recommender Systems and Trust in Media Outlets
The study investigates user perceptions of news media’s employment of news recommender systems (NRS) and their relation to trust in media outlets. A cross-sectional survey ( n = 5079) in the United Kingdom, United States, Poland, the Netherlands, and Switzerland shows that higher algorithmic knowledge, users’ perceived skills, and news aggregator use correspond to increased perceptions that news media use NRS. Moreover, higher perceived NRS use o…
Field-specific ability beliefs as an explanation for gender differences in academics’ career trajectories
Academic fields exhibit substantial levels of gender segregation. Here, we investigated differences in field-specific ability beliefs (FABs) as an explanation for this phenomenon. FABs may contribute to gender segregation to the extent that they portray success as depending on "brilliance" (i.e., exceptional intellectual ability), which is a trait culturally associated with men more than women. Although prior work has documented a relation betwee…
News recommender systems
News recommender systems (NRS) are becoming a ubiquitous part of the digital media landscape. Particularly in the realm of political news, the adoption of NRS can significantly impact journalistic distribution, in turn affecting journalistic work practices and news consumption. Thus, NRS touch both the supply and demand of political news. In recent years, there has been a strong increase in research on NRS. Yet, the field remains dispersed across…
Political Fact-Checking on Twitter
Research suggests that fact checking corrections have only a limited impact on the spread of false rumors. However, research has not considered that fact-checking may be socially contingent, meaning there are social contexts in which truth may be more or less preferred. In particular, we argue that strong social connections between fact-checkers and rumor spreaders encourage the latter to prefer sharing accurate information, making them more like…
Political Fact-Checking on Twitter
Research suggests that fact checking corrections have only a limited impact on the spread of false rumors. However, research has not considered that fact-checking may be socially contingent, meaning there are social contexts in which truth may be more or less preferred. In particular, we argue that strong social connections between fact-checkers and rumor spreaders encourage the latter to prefer sharing accurate information, making them more like…
User Perceptions of News Recommender Systems and Trust in Media Outlets
The study investigates user perceptions of news media’s employment of news recommender systems (NRS) and their relation to trust in media outlets. A cross-sectional survey ( n = 5079) in the United Kingdom, United States, Poland, the Netherlands, and Switzerland shows that higher algorithmic knowledge, users’ perceived skills, and news aggregator use correspond to increased perceptions that news media use NRS. Moreover, higher perceived NRS use o…
Field-specific ability beliefs as an explanation for gender differences in academics’ career trajectories
Academic fields exhibit substantial levels of gender segregation. Here, we investigated differences in field-specific ability beliefs (FABs) as an explanation for this phenomenon. FABs may contribute to gender segregation to the extent that they portray success as depending on "brilliance" (i.e., exceptional intellectual ability), which is a trait culturally associated with men more than women. Although prior work has documented a relation betwee…
News recommender systems
News recommender systems (NRS) are becoming a ubiquitous part of the digital media landscape. Particularly in the realm of political news, the adoption of NRS can significantly impact journalistic distribution, in turn affecting journalistic work practices and news consumption. Thus, NRS touch both the supply and demand of political news. In recent years, there has been a strong increase in research on NRS. Yet, the field remains dispersed across…
Political Fact-Checking on Twitter
Research suggests that fact checking corrections have only a limited impact on the spread of false rumors. However, research has not considered that fact-checking may be socially contingent, meaning there are social contexts in which truth may be more or less preferred. In particular, we argue that strong social connections between fact-checkers and rumor spreaders encourage the latter to prefer sharing accurate information, making them more like…
News recommender systems
News recommender systems (NRS) are becoming a ubiquitous part of the digital media landscape. Particularly in the realm of political news, the adoption of NRS can significantly impact journalistic distribution, in turn affecting journalistic work practices and news consumption. Thus, NRS touch both the supply and demand of political news. In recent years, there has been a strong increase in research on NRS. Yet, the field remains dispersed across…
Field-specific ability beliefs as an explanation for gender differences in academics’ career trajectories
Academic fields exhibit substantial levels of gender segregation. Here, we investigated differences in field-specific ability beliefs (FABs) as an explanation for this phenomenon. FABs may contribute to gender segregation to the extent that they portray success as depending on "brilliance" (i.e., exceptional intellectual ability), which is a trait culturally associated with men more than women. Although prior work has documented a relation betwee…
User Perceptions of News Recommender Systems and Trust in Media Outlets
The study investigates user perceptions of news media’s employment of news recommender systems (NRS) and their relation to trust in media outlets. A cross-sectional survey ( n = 5079) in the United Kingdom, United States, Poland, the Netherlands, and Switzerland shows that higher algorithmic knowledge, users’ perceived skills, and news aggregator use correspond to increased perceptions that news media use NRS. Moreover, higher perceived NRS use o…
A Balancing Act
News recommender systems (NRS), the algorithmic automation and personalization of news recommendations, may benefit both media producers and users. Yet, they raise concerns about the quality, diversity, and responsibility of journalism. Despite growing research, empirical investigations on news media’s employment of NRS have remained scarce, particularly in small media markets and across different organizational types. To better understand how an…
Rethinking search intent
This study examines the limitations of traditional search intent frameworks in the evolving landscape of digital information retrieval. We argue that Broder's (2002) widely used taxonomy of informational, navigational, and transactional intent fails to capture contemporary search behaviors due to two major shifts: first, traditional search engines have evolved from simple hyperlink providers into platforms offering rich snippets and direct answer…
Auditing the bias of conversational AI systems in occupational recommendations
Recent research has utilized resumes and occupational profiles to identify and quantify discrimination within conversational AI systems. We extend this concept by proposing a novel approach to quantification which leverages Holland’s theory of occupational interests to provide a more holistic interpretation of discrimination in these systems. Building upon the seminal work of Bertrand and Mullainathan (Am Econ Rev 94(4):991–1013, 2004), which exa…
Political science (4 obras) · Social Media and Politics (4 obras) · Psychology (3 obras) · Public relations (3 obras) · Advertising (2 obras) · Business (2 obras) · Computer Science (2 obras) · Economics (2 obras) · Field (mathematics (2 obras) · Media Studies and Communication (2 obras)