Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Inbal Klein-Avraham

Biographic Data

ID4257984
NAMEInbal Klein-Avraham
GIVEN NAMESInbal
FAMILY NAMEKlein-Avraham
SIGNATUREKLEIN-AVRAHAM I
AFFILIATIONSTechnion – Israel Institute of Technology
ORCID0000-0002-2642-5686
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS37
AUTHOR COUNT11
EDITOR COUNT0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX3
  • Measuring different types and domains of AI knowledge: Developing and validating a performance-based scale

    Open Access•Inbal Klein-Avraham, Rut Ston et al.•ARTICLE•Computers & Education•2026

    As artificial intelligence (AI) and generative AI (GenAI) technologies become increasingly integrated into everyday life, the need for validated tools that measure people’s knowledge about AI grows. Here, we present the development and validation of a theoretically driven, performance-based scale for assessing AI and GenAI knowledge. The scale is grounded in a two-axial framework. One axis captures three knowledge types: content knowledge (what A…

  • Exploring the Impact of Generative AI on Public Engagement and Information Dynamics

    Open Access•Monika Taddicken, Esther Greussing et al.•ARTICLE•Media and Communication•2026

    The rapid diffusion of generative AI is transforming the conditions under which public communication and knowledge production take place. As prompt-based systems increasingly operate as communicative actors that generate, translate, and contextualize information, they reconfigure established processes of mediation, the distribution of epistemic authority, and the infrastructures of the public sphere. This editorial situates the thematic issue wit…

  • When ignorance induces reliance: The role of epistemic knowledge about generative AI in changing health-related decision-making

    Open Access•Inbal Klein-Avraham, Ayelet Baram-Tsabari•ARTICLE•Public Understanding of Science•2026

    Today’s increasing and indiscriminate use of generative artificial intelligence to access science-related information is a serious cause for concern. Here, we investigated the role of knowledge about generative AI in individuals’ engagement with AI-generated science-related information. Specifically, we focused on the relationship between epistemic AI knowledge, regarding the features and construction processes that characterize AI output, and in…

  • Information Foraging With Generative AI: Usage Patterns in Germany and Israel

    Open Access•Inbal Klein-Avraham, Evelyn Jonas et al.•ARTICLE•Media and Communication•2026

    Generative artificial intelligence (GenAI) alters how people seek information, regardless of its susceptibility to epistemic limitations such as producing inaccurate or biased information. Studies of individuals’ usage patterns of GenAI for accessing information remain scarce. Here, we examined how individuals perceive and use GenAI for various information purposes and at different complexity levels across cultures. Based on online surveys of rep…

  • The perception and use of generative AI for science-related information search: Insights from a cross-national study

    Open Access•Esther Greussing, Lars Guenther et al.•ARTICLE•Public Understanding of Science•2025

    Publicly accessible large language models like ChatGPT are emerging as novel information intermediaries, enabling easy access to a wide range of science-related information. This study presents survey data from seven countries ( N = 4320) obtained in July and August 2023, focusing on the perception and use of GenAI for science-related information search. Despite the novelty of ChatGPT, a sizable proportion of respondents already reported using it…

  • Mapping the emergence of visual biases in journalistic interactive visualizations

    Open Access•Inbal Klein-Avraham, Zvi Reich•ARTICLE•Visual Communication•2025•References: 9

    Despite their attractive and effective nature, journalistic interactive visualizations (JIVs) are highly susceptible to bias and manipulation. Based on a quantitative content analysis of 600 JIVs from six leading general and financial news sites ( The New York Times , The Wall Street Journal , The Guardian , The Economist , Haaretz and Calcalist ), this study traces the emergence of four visual biases in JIVs – visual ambiguity, exaggeration/unde…

  • Generative AI in Science Communication: Fostering Scientists’ Good Working Habits for Ethical and Effective Use

    Open Access•Friederike Hendriks, Yael Barel-Ben David et al.•ARTICLE•Science Communication•2025•Cited by: 1•References: 2

    Scientists increasingly use generative artificial intelligence (GenAI) to aid in science communication tasks due to limited time and resources. GenAI can function as a writing assistant, idea generator, or collaborative tool. While it offers promising support, it is crucial to address potential pitfalls, such as misinformation due to its stochastic nature, dependency on prompt specificity, and the risk of reproducing biases and stereotypes. To mi…

  • Industrial Production of Post-industrial Products: How Interactive Visualizations Miss Their Potential as a Journalistic Form of Knowledge

    Inbal Klein-Avraham, Zvi Reich•ARTICLE•Journalism Studies•2022•Cited by: 1•References: 19

    Journalistic interactive visualizations (JIVs) – such as scrollytellings, interactive infographics, and clickable data visualizations – have an epistemic potential to efficiently and intricately mediate rich journalistic knowledge. In practice, however, they usually mediate and oversimplify limited knowledge. To understand why and where, across the production line, JIVs lose their epistemic potential, we map the production process of JIVs in thre…

  • Memorless”: The visual framing of asylum seekers in Israel

    Noam Tirosh, Inbal Klein-Avraham•ARTICLE•Journalism Studies•2017•Cited by: 9•References: 24

    Though it is crucial to the recognition of asylum seekers as refugees, the discussion about their mediated visual representations within host countries’ media is marginalized in academic discourse. Therefore, this study analyzes the visual coverage of asylum seekers’ protests, held in Israel, between December 2013 and January 2014. A qualitative analysis of 79 photographs, published in two newspapers during that time, reveals that asylum seekers …

  • Textual DNA: The hindered authorship of photojournalists in the Western press

    Zvi Reich, Inbal Klein-Avraham•ARTICLE•Journalism Practice•2014•Cited by: 6•References: 13

    For the first time, this paper studies the evolution of photojournalists' bylines compared to reporters' bylines, which proved a sensitive barometer of longitudinal changes in reporters' status, professionalism, creativity and authorship. Based on a sample of 8800 photographs and news items published across the twentieth century in five quality national dailies: New York Times, The Times of London, Le Figaro, Irish Times and Ha'aretz, this paper …

  • Out of the frame: A longitudinal perspective on digitization and professional photojournalism

    Open Access•Inbal Klein-Avraham, Zvi Reich•ARTICLE•New Media & Society•2014•Cited by: 20•References: 24

    Contrary to the scholarly literature frequently associating digitization with external threats to professional photojournalists, this study focuses on internal factors: the new routines and practices of digital photojournalism, embedding them in the broader context of growing threats to cultural industries and labor markets. Using a longitudinal perspective, and based on in-depth interviews with 15 Israeli photojournalists with experience of both…

  • Out of the frame: A longitudinal perspective on digitization and professional photojournalism

    Open Access•Inbal Klein-Avraham, Zvi Reich•ARTICLE•New Media & Society•2014•Cited by: 20•References: 24

    Contrary to the scholarly literature frequently associating digitization with external threats to professional photojournalists, this study focuses on internal factors: the new routines and practices of digital photojournalism, embedding them in the broader context of growing threats to cultural industries and labor markets. Using a longitudinal perspective, and based on in-depth interviews with 15 Israeli photojournalists with experience of both…

  • Memorless”: The visual framing of asylum seekers in Israel

    Noam Tirosh, Inbal Klein-Avraham•ARTICLE•Journalism Studies•2017•Cited by: 9•References: 24

    Though it is crucial to the recognition of asylum seekers as refugees, the discussion about their mediated visual representations within host countries’ media is marginalized in academic discourse. Therefore, this study analyzes the visual coverage of asylum seekers’ protests, held in Israel, between December 2013 and January 2014. A qualitative analysis of 79 photographs, published in two newspapers during that time, reveals that asylum seekers …

  • Textual DNA: The hindered authorship of photojournalists in the Western press

    Zvi Reich, Inbal Klein-Avraham•ARTICLE•Journalism Practice•2014•Cited by: 6•References: 13

    For the first time, this paper studies the evolution of photojournalists' bylines compared to reporters' bylines, which proved a sensitive barometer of longitudinal changes in reporters' status, professionalism, creativity and authorship. Based on a sample of 8800 photographs and news items published across the twentieth century in five quality national dailies: New York Times, The Times of London, Le Figaro, Irish Times and Ha'aretz, this paper …

  • Generative AI in Science Communication: Fostering Scientists’ Good Working Habits for Ethical and Effective Use

    Open Access•Friederike Hendriks, Yael Barel-Ben David et al.•ARTICLE•Science Communication•2025•Cited by: 1•References: 2

    Scientists increasingly use generative artificial intelligence (GenAI) to aid in science communication tasks due to limited time and resources. GenAI can function as a writing assistant, idea generator, or collaborative tool. While it offers promising support, it is crucial to address potential pitfalls, such as misinformation due to its stochastic nature, dependency on prompt specificity, and the risk of reproducing biases and stereotypes. To mi…

  • Industrial Production of Post-industrial Products: How Interactive Visualizations Miss Their Potential as a Journalistic Form of Knowledge

    Inbal Klein-Avraham, Zvi Reich•ARTICLE•Journalism Studies•2022•Cited by: 1•References: 19

    Journalistic interactive visualizations (JIVs) – such as scrollytellings, interactive infographics, and clickable data visualizations – have an epistemic potential to efficiently and intricately mediate rich journalistic knowledge. In practice, however, they usually mediate and oversimplify limited knowledge. To understand why and where, across the production line, JIVs lose their epistemic potential, we map the production process of JIVs in thre…

  • Textual DNA: The hindered authorship of photojournalists in the Western press

    Zvi Reich, Inbal Klein-Avraham•ARTICLE•Journalism Practice•2014•Cited by: 6•References: 13

    For the first time, this paper studies the evolution of photojournalists' bylines compared to reporters' bylines, which proved a sensitive barometer of longitudinal changes in reporters' status, professionalism, creativity and authorship. Based on a sample of 8800 photographs and news items published across the twentieth century in five quality national dailies: New York Times, The Times of London, Le Figaro, Irish Times and Ha'aretz, this paper …

  • Out of the frame: A longitudinal perspective on digitization and professional photojournalism

    Open Access•Inbal Klein-Avraham, Zvi Reich•ARTICLE•New Media & Society•2014•Cited by: 20•References: 24

    Contrary to the scholarly literature frequently associating digitization with external threats to professional photojournalists, this study focuses on internal factors: the new routines and practices of digital photojournalism, embedding them in the broader context of growing threats to cultural industries and labor markets. Using a longitudinal perspective, and based on in-depth interviews with 15 Israeli photojournalists with experience of both…

  • Memorless”: The visual framing of asylum seekers in Israel

    Noam Tirosh, Inbal Klein-Avraham•ARTICLE•Journalism Studies•2017•Cited by: 9•References: 24

    Though it is crucial to the recognition of asylum seekers as refugees, the discussion about their mediated visual representations within host countries’ media is marginalized in academic discourse. Therefore, this study analyzes the visual coverage of asylum seekers’ protests, held in Israel, between December 2013 and January 2014. A qualitative analysis of 79 photographs, published in two newspapers during that time, reveals that asylum seekers …

  • Industrial Production of Post-industrial Products: How Interactive Visualizations Miss Their Potential as a Journalistic Form of Knowledge

    Inbal Klein-Avraham, Zvi Reich•ARTICLE•Journalism Studies•2022•Cited by: 1•References: 19

    Journalistic interactive visualizations (JIVs) – such as scrollytellings, interactive infographics, and clickable data visualizations – have an epistemic potential to efficiently and intricately mediate rich journalistic knowledge. In practice, however, they usually mediate and oversimplify limited knowledge. To understand why and where, across the production line, JIVs lose their epistemic potential, we map the production process of JIVs in thre…

  • The perception and use of generative AI for science-related information search: Insights from a cross-national study

    Open Access•Esther Greussing, Lars Guenther et al.•ARTICLE•Public Understanding of Science•2025

    Publicly accessible large language models like ChatGPT are emerging as novel information intermediaries, enabling easy access to a wide range of science-related information. This study presents survey data from seven countries ( N = 4320) obtained in July and August 2023, focusing on the perception and use of GenAI for science-related information search. Despite the novelty of ChatGPT, a sizable proportion of respondents already reported using it…

  • Mapping the emergence of visual biases in journalistic interactive visualizations

    Open Access•Inbal Klein-Avraham, Zvi Reich•ARTICLE•Visual Communication•2025•References: 9

    Despite their attractive and effective nature, journalistic interactive visualizations (JIVs) are highly susceptible to bias and manipulation. Based on a quantitative content analysis of 600 JIVs from six leading general and financial news sites ( The New York Times , The Wall Street Journal , The Guardian , The Economist , Haaretz and Calcalist ), this study traces the emergence of four visual biases in JIVs – visual ambiguity, exaggeration/unde…

  • Generative AI in Science Communication: Fostering Scientists’ Good Working Habits for Ethical and Effective Use

    Open Access•Friederike Hendriks, Yael Barel-Ben David et al.•ARTICLE•Science Communication•2025•Cited by: 1•References: 2

    Scientists increasingly use generative artificial intelligence (GenAI) to aid in science communication tasks due to limited time and resources. GenAI can function as a writing assistant, idea generator, or collaborative tool. While it offers promising support, it is crucial to address potential pitfalls, such as misinformation due to its stochastic nature, dependency on prompt specificity, and the risk of reproducing biases and stereotypes. To mi…

  • Measuring different types and domains of AI knowledge: Developing and validating a performance-based scale

    Open Access•Inbal Klein-Avraham, Rut Ston et al.•ARTICLE•Computers & Education•2026

    As artificial intelligence (AI) and generative AI (GenAI) technologies become increasingly integrated into everyday life, the need for validated tools that measure people’s knowledge about AI grows. Here, we present the development and validation of a theoretically driven, performance-based scale for assessing AI and GenAI knowledge. The scale is grounded in a two-axial framework. One axis captures three knowledge types: content knowledge (what A…

  • Exploring the Impact of Generative AI on Public Engagement and Information Dynamics

    Open Access•Monika Taddicken, Esther Greussing et al.•ARTICLE•Media and Communication•2026

    The rapid diffusion of generative AI is transforming the conditions under which public communication and knowledge production take place. As prompt-based systems increasingly operate as communicative actors that generate, translate, and contextualize information, they reconfigure established processes of mediation, the distribution of epistemic authority, and the infrastructures of the public sphere. This editorial situates the thematic issue wit…

  • When ignorance induces reliance: The role of epistemic knowledge about generative AI in changing health-related decision-making

    Open Access•Inbal Klein-Avraham, Ayelet Baram-Tsabari•ARTICLE•Public Understanding of Science•2026

    Today’s increasing and indiscriminate use of generative artificial intelligence to access science-related information is a serious cause for concern. Here, we investigated the role of knowledge about generative AI in individuals’ engagement with AI-generated science-related information. Specifically, we focused on the relationship between epistemic AI knowledge, regarding the features and construction processes that characterize AI output, and in…

  • Information Foraging With Generative AI: Usage Patterns in Germany and Israel

    Open Access•Inbal Klein-Avraham, Evelyn Jonas et al.•ARTICLE•Media and Communication•2026

    Generative artificial intelligence (GenAI) alters how people seek information, regardless of its susceptibility to epistemic limitations such as producing inaccurate or biased information. Studies of individuals’ usage patterns of GenAI for accessing information remain scarce. Here, we examined how individuals perceive and use GenAI for various information purposes and at different complexity levels across cultures. Based on online surveys of rep…

Artificial Intelligence in Healthcare and Education (6 works) · Generative grammar (6 works) · Sociology (6 works) · Computer Science (5 works) · Ethics and Social Impacts of AI (4 works) · Political science (4 works) · Psychology (4 works) · AI in Service Interactions (3 works) · Art (3 works) · Artificial Intelligence (3 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae