1 citations · 3 across the 4 of their papers we have counts for
4 papers
Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm
Ljubisa Bojic, Olga Zagovora, Asta Zelenkauskaite +4
In the era of rapid digital communication, vast amounts of textual data are generated daily, demanding efficient methods for latent content analysis to extract meaningful insights.…
Which tweets 'deserve' to be included in news stories? Chronemics of tweet embedding
Munif Ishad Mujib, Asta Zelenkauskaite, Jake Ryland Williams
The use and selection of user-generated social media content, specifically tweets, as a news source has become an integral part of news production practice. Yet, the mapping and th…
NewsTweet: A Dataset of Social Media Embedding in Online Journalism
Munif Ishad Mujib, Hunter Scott Heidenreich, Colin J. Murphy +3
The inclusion of social media posts---tweets, in particular---in digital news stories, both as commentary and increasingly as news sources, has become commonplace in recent years.…
AI in society and culture: decision making and values
Katalin Feher, Asta Zelenkauskaite
With the increased expectation of artificial intelligence, academic research face complex questions of human-centred, responsible and trustworthy technology embedded into society a…