TikTok's FYP algorithm changes content based on user signals yet reverts to unwanted topics once explicit disinterest stops, with the strongest signal buried in the interface.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts , pages=
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
New datasets and language model classifiers enable detection of misinformation spans in video transcripts with an F1 score of 0.68.
DisImpact introduces a two-stage MLLM framework to classify disaster-related social media posts into ten impact categories and compute a unified physi-social impact index validated against FEMA and NASA ground-truth data.
citing papers explorer
-
When 'For You' Isn't For You: Measuring User Agency in TikTok's Algorithmic Feed
TikTok's FYP algorithm changes content based on user signals yet reverts to unwanted topics once explicit disinterest stops, with the strongest signal buried in the interface.
-
Misinformation Span Detection in Videos via Audio Transcripts
New datasets and language model classifiers enable detection of misinformation spans in video transcripts with an F1 score of 0.68.
-
DisImpact: Quantifying the Physi-Social Impact of Natural Disasters Through Social Media
DisImpact introduces a two-stage MLLM framework to classify disaster-related social media posts into ten impact categories and compute a unified physi-social impact index validated against FEMA and NASA ground-truth data.