Edina Strikovic
Datos Biográficos
| ID | 4448711 |
|---|---|
| NOMBRE | Edina Strikovic |
| NOMBRES | Edina |
| APELLIDO | Strikovic |
| FIRMA | STRIKOVIC E |
| AFILIACIONES | University of Amsterdam |
| ORCID | 0000-0001-8377-5001 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 14 |
| TOTAL DE CITAS | 15 |
| TOTAL COMO AUTOR | 14 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
Rhyme or reason
Media literacy interventions are at the forefront of anti-misinformation policy. Current interventions are often complex, time-consuming, and lack a clear theoretical basis, which might negatively affect their (longer-term) effectiveness. This study draws on Protection Motivation Theory to design and test a novel ‘heuristic intervention’ that is meant to be easily remembered and carried out. Since there is only limited information about the longe…
From the Streets to the Tweets. The Influence of Public Opinion Information on Journalists’ Judgments
Traditionally, methods such as opinion polls have been pivotal in shaping media depictions of public sentiment. Journalists have several ways at their disposal to draw on in order to report on public opinion in their coverage. However, the advent of platforms like Twitter (X)1 introduces new layers of complexity to this dynamic. Through a survey-experiment with 143 Flemish political journalists, we examined how different sources (Twitter versus t…
Expecting Humans, Encountering Machines
Drawing on Expectancy Violations Theory (EVT), we conducted 60 semi-structured interviews to examine (1) how news audiences in Australia and Germany form expectations about journalists’ use of generative AI (GenAI); (2) the antecedents shaping those expectations; and (3) how they evaluate perceived expectation violations. Participants envisioned journalism as a human-centered practice, rejecting autonomous GenAI use in core reporting functions. T…
News audiences’ acceptance of generative artificial intelligence in journalism
News audiences’ acceptance of generative AI (GenAI) in journalism is shaped by their knowledge of (or direct experience with) what AI is, what it can do, and what implications its use has. Acknowledging this, the present study draws on the technology acceptance model to first explore what a sample of news audiences in two countries knows about GenAI and what their experiences, if any, with it have been to date. Next, it explores this sample's acc…
Feeling represented yet? How populist and non-populist cues in references to the people affect people’s perceived representation
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…
Reality Re-Imag(in)ed. Mapping Publics’ Perceptions and Evaluations of AI-Generated Images in News Contexts
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…
Opportunity structures for user acceptance of news recommender systems (NRS)
Digitalization of the media is often discussed in terms of effects on the user. What is often overlooked are the motivations from users, on the individual level, for the acceptance of new technologies. This study explores what individual-level factors make up favorable opportunity structures for the implementation of news recommender systems (NRS). We conduct a cross-sectional survey ( n = 5073) in five countries (The Netherlands, Switzerland, Po…
Appeals to the people
Political representation lies at the heart of representative democracy. In order to signal their connection to the people they are representing, politicians often refer to “the people.” In this study, we focus on how politicians refer to the people and how this varies across three main platforms of communication differing in access and formality: news media, social media, and the parliament. Through an in-depth content analysis of news articles, …
When Worlds Collide
An increasing number of media organisations are adopting news recommender systems (NRS). Such algorithmic technologies, which prioritise content based on, for example, previous user behaviour or popularity metrics, may have far-reaching repercussions for news work. Despite this, the implications of NRS implementation for intra-organisational practices as well as dynamics and tensions between involved actors remain understudied. Against this backg…
Exploring users’ desire for transparency and control in news recommender systems
As news organizations increasingly adopt AI-driven technologies like news recommender systems (NRS), notions of responsible artificial intelligence (AI) design have attracted significant scholarly and public attention. Particularly, transparency and user control are crucial for the fulfilment of democratic freedoms and human rights. However, users’ desire for such features in NRS has not yet been sufficiently examined. Therefore, this study set o…
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…
On Behalf of the People
This study investigates the role of public opinion for members of parliaments (MPs) in a time in which communication about the will of “the People” is high on the political agenda. By means of face-to-face elite interviews with Dutch MPs, we explore who politicians perceive as “the People,” how they assess “the will of the People,” and how this translates into their communication strategies. We find that MPs distinguish between listening to indiv…
On Behalf of the People
This study investigates the role of public opinion for members of parliaments (MPs) in a time in which communication about the will of “the People” is high on the political agenda. By means of face-to-face elite interviews with Dutch MPs, we explore who politicians perceive as “the People,” how they assess “the will of the People,” and how this translates into their communication strategies. We find that MPs distinguish between listening to indiv…
When Worlds Collide
An increasing number of media organisations are adopting news recommender systems (NRS). Such algorithmic technologies, which prioritise content based on, for example, previous user behaviour or popularity metrics, may have far-reaching repercussions for news work. Despite this, the implications of NRS implementation for intra-organisational practices as well as dynamics and tensions between involved actors remain understudied. Against this backg…
Exploring users’ desire for transparency and control in news recommender systems
As news organizations increasingly adopt AI-driven technologies like news recommender systems (NRS), notions of responsible artificial intelligence (AI) design have attracted significant scholarly and public attention. Particularly, transparency and user control are crucial for the fulfilment of democratic freedoms and human rights. However, users’ desire for such features in NRS has not yet been sufficiently examined. Therefore, this study set o…
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…
Opportunity structures for user acceptance of news recommender systems (NRS)
Digitalization of the media is often discussed in terms of effects on the user. What is often overlooked are the motivations from users, on the individual level, for the acceptance of new technologies. This study explores what individual-level factors make up favorable opportunity structures for the implementation of news recommender systems (NRS). We conduct a cross-sectional survey ( n = 5073) in five countries (The Netherlands, Switzerland, Po…
Appeals to the people
Political representation lies at the heart of representative democracy. In order to signal their connection to the people they are representing, politicians often refer to “the people.” In this study, we focus on how politicians refer to the people and how this varies across three main platforms of communication differing in access and formality: news media, social media, and the parliament. Through an in-depth content analysis of news articles, …
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…
On Behalf of the People
This study investigates the role of public opinion for members of parliaments (MPs) in a time in which communication about the will of “the People” is high on the political agenda. By means of face-to-face elite interviews with Dutch MPs, we explore who politicians perceive as “the People,” how they assess “the will of the People,” and how this translates into their communication strategies. We find that MPs distinguish between listening to indiv…
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…
Appeals to the people
Political representation lies at the heart of representative democracy. In order to signal their connection to the people they are representing, politicians often refer to “the people.” In this study, we focus on how politicians refer to the people and how this varies across three main platforms of communication differing in access and formality: news media, social media, and the parliament. Through an in-depth content analysis of news articles, …
When Worlds Collide
An increasing number of media organisations are adopting news recommender systems (NRS). Such algorithmic technologies, which prioritise content based on, for example, previous user behaviour or popularity metrics, may have far-reaching repercussions for news work. Despite this, the implications of NRS implementation for intra-organisational practices as well as dynamics and tensions between involved actors remain understudied. Against this backg…
Exploring users’ desire for transparency and control in news recommender systems
As news organizations increasingly adopt AI-driven technologies like news recommender systems (NRS), notions of responsible artificial intelligence (AI) design have attracted significant scholarly and public attention. Particularly, transparency and user control are crucial for the fulfilment of democratic freedoms and human rights. However, users’ desire for such features in NRS has not yet been sufficiently examined. Therefore, this study set o…
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…
Opportunity structures for user acceptance of news recommender systems (NRS)
Digitalization of the media is often discussed in terms of effects on the user. What is often overlooked are the motivations from users, on the individual level, for the acceptance of new technologies. This study explores what individual-level factors make up favorable opportunity structures for the implementation of news recommender systems (NRS). We conduct a cross-sectional survey ( n = 5073) in five countries (The Netherlands, Switzerland, Po…
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…
Reality Re-Imag(in)ed. Mapping Publics’ Perceptions and Evaluations of AI-Generated Images in News Contexts
Rhyme or reason
Media literacy interventions are at the forefront of anti-misinformation policy. Current interventions are often complex, time-consuming, and lack a clear theoretical basis, which might negatively affect their (longer-term) effectiveness. This study draws on Protection Motivation Theory to design and test a novel ‘heuristic intervention’ that is meant to be easily remembered and carried out. Since there is only limited information about the longe…
From the Streets to the Tweets. The Influence of Public Opinion Information on Journalists’ Judgments
Traditionally, methods such as opinion polls have been pivotal in shaping media depictions of public sentiment. Journalists have several ways at their disposal to draw on in order to report on public opinion in their coverage. However, the advent of platforms like Twitter (X)1 introduces new layers of complexity to this dynamic. Through a survey-experiment with 143 Flemish political journalists, we examined how different sources (Twitter versus t…
Expecting Humans, Encountering Machines
Drawing on Expectancy Violations Theory (EVT), we conducted 60 semi-structured interviews to examine (1) how news audiences in Australia and Germany form expectations about journalists’ use of generative AI (GenAI); (2) the antecedents shaping those expectations; and (3) how they evaluate perceived expectation violations. Participants envisioned journalism as a human-centered practice, rejecting autonomous GenAI use in core reporting functions. T…
News audiences’ acceptance of generative artificial intelligence in journalism
News audiences’ acceptance of generative AI (GenAI) in journalism is shaped by their knowledge of (or direct experience with) what AI is, what it can do, and what implications its use has. Acknowledging this, the present study draws on the technology acceptance model to first explore what a sample of news audiences in two countries knows about GenAI and what their experiences, if any, with it have been to date. Next, it explores this sample's acc…
Feeling represented yet? How populist and non-populist cues in references to the people affect people’s perceived representation
Political science (8 obras) · Public relations (7 obras) · Social Media and Politics (7 obras) · Computer Science (6 obras) · Psychology (6 obras) · Sociology (6 obras) · Journalism (5 obras) · Law (5 obras) · Media Studies and Communication (5 obras) · Business (4 obras)