[HTML][HTML] 8–10% of algorithmic recommendations are 'bad', but… an exploratory risk-utility meta-analysis and its regulatory implications
We conducted a quantitatively coarse-grained, but wide-ranging evaluation of the frequency
recommender algorithms provide 'good'and 'bad'recommendations, with a focus on the …
recommender algorithms provide 'good'and 'bad'recommendations, with a focus on the …
[HTML][HTML] How transparent are transparency reports? Comparative analysis of transparency reporting across online platforms
A Urman, M Makhortykh - Telecommunications policy, 2023 - Elsevier
Over the last decade, transparency reports have been adopted by most large information
technology companies. These reports provide important information on the requests tech …
technology companies. These reports provide important information on the requests tech …
[HTML][HTML] Where the earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results
Web search engines are important online information intermediaries that are frequently used
and highly trusted by the public despite multiple evidence of their outputs being subjected to …
and highly trusted by the public despite multiple evidence of their outputs being subjected to …
Mapping the Field of Algorithm Auditing: A Systematic Literature Review Identifying Research Trends, Linguistic and Geographical Disparities
The increasing reliance on complex algorithmic systems by online platforms has sparked a
growing need for algorithm auditing, a research methodology evaluating these systems' …
growing need for algorithm auditing, a research methodology evaluating these systems' …
Memory, counter-memory and denialism: How search engines circulate information about the Holodomor-related memory wars
Search engines, such as Google or Yandex, shape social reality by informing their users
about current and historical phenomena. However, there is little research on how search …
about current and historical phenomena. However, there is little research on how search …
Stochastic lies: How LLM-powered chatbots deal with Russian disinformation about the war in Ukraine
M Makhortykh, M Sydorova… - Harvard …, 2024 - misinforeview.hks.harvard.edu
Implications Automated content selection, filtering, and ranking systems powered by artificial
intelligence (AI) have long been key elements of infrastructural affordances and business …
intelligence (AI) have long been key elements of infrastructural affordances and business …
The silence of the LLMs: Cross-lingual analysis of political bias and false information prevalence in ChatGPT, Google Bard, and Bing Chat
A Urman, M Makhortykh - 2023 - osf.io
This article presents a comparative analysis of political bias in the outputs of three Large
Language Model (LLM)-based chatbots-ChatGPT, Bing Chat, and Bard-in response to …
Language Model (LLM)-based chatbots-ChatGPT, Bing Chat, and Bard-in response to …
Different platforms, different plots? The Kremlin-controlled search engine Yandex as a resource for Russia's informational influence in Belarus during the COVID-19 …
Extant research demonstrated that the algorithms of the Kremlin-controlled search engine
Yandex, compared to those of its US-based counterpart Google, frequently produce results …
Yandex, compared to those of its US-based counterpart Google, frequently produce results …
Search engine manipulation to spread pro-Kremlin propaganda
EM Williams, KM Carley - Harvard Kennedy …, 2023 - misinforeview.hks.harvard.edu
Implications In 2014, Vitaly Bespalov was hired as a writer by a secretive organization, later
revealed to be the Kremlin-linked Internet Research Agency (IRA), a troll farm that was …
revealed to be the Kremlin-linked Internet Research Agency (IRA), a troll farm that was …
[HTML][HTML] The silence of the LLMs: Cross-lingual analysis of guardrail-related political bias and false information prevalence in ChatGPT, Google Bard (Gemini), and …
A Urman, M Makhortykh - Telematics and Informatics, 2025 - Elsevier
This article presents a comparative analysis of political bias in the outputs of three Large
Language Model (LLM)-based chatbots–ChatGPT (GPT3. 5, GPT4, GPT4o), Bing Chat, and …
Language Model (LLM)-based chatbots–ChatGPT (GPT3. 5, GPT4, GPT4o), Bing Chat, and …