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Found 9 papers, 0 papers with code
Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine
These observations stress the possibility of AICSs being vulnerable to manipulation, in particular in the case of the unfolding propaganda campaigns, and underline the importance of monitoring performance of these systems to prevent it.
In Generative AI we Trust: Can Chatbots Effectively Verify Political Information?
These findings highlight the potential of LLM-based chatbots in tackling different forms of false information in online environments, but also points to the substantial variation in terms of how such potential is realized due to specific factors, such as language of the prompt or the topic.
Novelty in news search: a longitudinal study of the 2020 US elections
The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly.
This is what a pandemic looks like: Visual framing of COVID-19 on search engines
In today's high-choice media environment, search engines play an integral role in informing individuals and societies about the latest events.
Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data
The growing availability of data about online information behaviour enables new possibilities for political communication research.
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 inaccuracies and biases.
Detecting race and gender bias in visual representation of AI on web search engines
Web search engines influence perception of social reality by filtering and ranking information.
Auditing Source Diversity Bias in Video Search Results Using Virtual Agents
We audit the presence of domain-level source diversity bias in video search results.
Uphill from here: Sentiment patterns in videos from left- and right-wing YouTube news channels
We found that the use of two sentiment patterns differed significantly depending on political leaning.
