mlsanityData to 7 Oct 2026

Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets

arXiv 2309.09508 ↗First posted 18 Sep 2023cs.CL cs.SIcited by 1

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Abstract (arXiv)

Understanding the framing of political issues is of paramount importance as it significantly shapes how individuals perceive, interpret, and engage with these matters. While prior research has independently explored framing within news media and by social media users, there remains a notable gap in our comprehension of the disparities in framing political issues between these two distinct groups. To address this gap, we conduct a comprehensive investigation, focusing on the nuanced distinctions both qualitatively and quantitatively in the framing of social media and traditional media outlets concerning a series of American Supreme Court rulings on affirmative action, student loans, and abortion rights. Our findings reveal that, while some overlap in framing exists between social media and traditional media outlets, substantial differences emerge both across various topics and within specific framing categories. Compared to traditional news media, social media platforms tend to present more polarized stances across all framing categories. Further, we observe significant polarization in the news media's treatment (i.e., Left vs. Right leaning media) of affirmative action and abortion rights, whereas the topic of student loans tends to exhibit a greater degree of consensus. The disparities in framing between traditional and social media platforms carry significant implications for the formation of public opinion, policy decision-making, and the broader political landscape.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 31 references that are in the map. First posted on arXiv 18 Sep 2023.

Builds on

4 of 31 references.

References · 4

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2021Modeling Framing in Immigration Discourse on Social Mediacited by 37
  3. 2023Computational Assessment of Hyperpartisanship in News Titlescited by 4
  4. 2023Excitements and Concerns in the Post-ChatGPT Era: Deciphering Public Perception of AI through Social Media Analysiscited by 4

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Citing papers per year: 2023: 1.

1 paper.