Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies

• URL: http://arxiv.org/abs/2406.13820v1
• Date: Wed, 19 Jun 2024 20:31:34 GMT
• Title: Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies
• Authors: Julia Mendelsohn, Maya Vijan, Dallas Card, Ceren Budak,
• Abstract summary: We focus on Twitter messages from social movements surrounding three issues in 2018-2019 (guns, immigration, and LGBTQ rights) We create a codebook, annotated dataset, and computational models to detect diagnostic (problem identification and attribution), prognostic (proposed solutions and tactics), and motivational (calls to action) framing strategies. For example, we show that diagnostic framing is more common in replies than original broadcast posts, and that social movement organizations focus much more on prognostic and motivational framing than journalists and ordinary citizens.
• Score: 13.457215856735308
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Social media enables activists to directly communicate with the public and provides a space for movement leaders, participants, bystanders, and opponents to collectively construct and contest narratives. Focusing on Twitter messages from social movements surrounding three issues in 2018-2019 (guns, immigration, and LGBTQ rights), we create a codebook, annotated dataset, and computational models to detect diagnostic (problem identification and attribution), prognostic (proposed solutions and tactics), and motivational (calls to action) framing strategies. We conduct an in-depth unsupervised linguistic analysis of each framing strategy, and uncover cross-movement similarities in associations between framing and linguistic features such as pronouns and deontic modal verbs. Finally, we compare framing strategies across issues and other social, cultural, and interactional contexts. For example, we show that diagnostic framing is more common in replies than original broadcast posts, and that social movement organizations focus much more on prognostic and motivational framing than journalists and ordinary citizens.

Related papers

• Community Shaping in the Digital Age: A Temporal Fusion Framework for Analyzing Discourse Fragmentation in Online Social Networks [45.58331196717468]
  This research presents a framework for analyzing the dynamics of online communities in social media platforms. By combining text classification and dynamic social network analysis, we uncover mechanisms driving community formation and evolution.
  arXiv  Detail & Related papers  (2024-09-18T03:03:02Z)
• From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition [59.57095498284501]
  We propose a novel approach that recognizes textbfContextual textbfSocial textbfRelationships (textbfConSoR) from a social cognitive perspective. We construct social-aware descriptive language prompts with social relationships for each image. Impressively, ConSoR outperforms previous methods with a 12.2% gain on the People-in-Social-Context (PISC) dataset and a 9.8% increase on the People-in-Photo-Album (PIPA) benchmark.
  arXiv  Detail & Related papers  (2024-06-12T16:02:28Z)
• Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy [22.976609127865732]
  Social media has led to a surge in popularity for automated methods of analyzing public opinion. Traditional unsupervised methods for extracting themes from public discourse, such as topic modeling, often reveal overarching patterns that might not capture specific nuances. We propose a generic LLMs-in-the-Loop strategy that leverages the advanced capabilities of Large Language Models.
  arXiv  Detail & Related papers  (2024-04-16T03:26:43Z)
• Narratives of Collective Action in YouTube's Discourse on Veganism [0.0]
  We use natural language processing to operationalize a theoretical framework of moral narratives specific to the vegan movement. Our analysis reveals that several narrative types, as defined by the theory, are empirically present in the data. Video narratives advocating social fight, whether through protest or through efforts to convert others to the cause, are associated with a stronger sense of collective action in the respective comments.
  arXiv  Detail & Related papers  (2024-01-17T13:44:36Z)
• Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets [56.67097829383139]
  We focus on the nuanced distinctions in framing of social media and traditional media outlets concerning a series of U.S. Supreme Court rulings. We observe significant polarization in the news media's treatment of affirmative action and abortion rights, whereas the topic of student loans tends to exhibit a greater degree of consensus.
  arXiv  Detail & Related papers  (2023-09-18T06:40:21Z)
• Persuasion Strategies in Advertisements [68.70313043201882]
  We introduce an extensive vocabulary of persuasion strategies and build the first ad image corpus annotated with persuasion strategies. We then formulate the task of persuasion strategy prediction with multi-modal learning. We conduct a real-world case study on 1600 advertising campaigns of 30 Fortune-500 companies.
  arXiv  Detail & Related papers  (2022-08-20T07:33:13Z)
• Modeling Framing in Immigration Discourse on Social Media [6.303801812707287]
  framing of political issues can influence policy and public opinion. We create a new dataset of immigration-related tweets labeled for multiple framing typologies from political communication theory. We show how users' ideology and region impact framing choices, and how a message's framing influences audience responses.
  arXiv  Detail & Related papers  (2021-04-13T18:35:44Z)
• Learning Triadic Belief Dynamics in Nonverbal Communication from Videos [81.42305032083716]
  Nonverbal communication can convey rich social information among agents. In this paper, we incorporate different nonverbal communication cues to represent, model, learn, and infer agents' mental states.
  arXiv  Detail & Related papers  (2021-04-07T00:52:04Z)
• Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks [90.3475746663728]
  Events are happening in real-world and real-time, which can be planned and organized for occasions, such as social gatherings, festival celebrations, influential meetings or sports activities. Social media platforms generate a lot of real-time text information regarding public events with different topics. However, mining social events is challenging because events typically exhibit heterogeneous texture and metadata are often ambiguous.
  arXiv  Detail & Related papers  (2021-04-02T02:13:10Z)
• Analysing Social Media Network Data with R: Semi-Automated Screening of Users, Comments and Communication Patterns [0.0]
  Communication on social media platforms is increasingly widespread across societies. Fake news, hate speech and radicalizing elements are part of this modern form of communication. A basic understanding of these mechanisms and communication patterns could help to counteract negative forms of communication.
  arXiv  Detail & Related papers  (2020-11-26T14:52:01Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.