To Reply or to Quote: Comparing Conversational Framing Strategies on Twitter

Author:

Zade Himanshu1ORCID,Williams Spencer1ORCID,Tran Theresa T.1ORCID,Smith Christina1ORCID,Venkatagiri Sukrit2ORCID,Hsieh Gary3ORCID,Starbird Kate3ORCID

Affiliation:

1. Human Centered Design & Engineering, University of Washington

2. Department of Computer Science, Swarthmore College

3. Human Centered Design & Engineering and Center for an Informed Public, University of Washington

Abstract

Social media platform affordances allow users to interact with content and with each other in diverse ways. For example, on Twitter, 1 users can like, reply, retweet, or quote another tweet. Though it’s clear that these different features allow various types of interactions, open questions remain about how these different affordances shape the conversations. We examine how two similar, but distinct conversational features on Twitter — specifically reply vs. quote — are used differently. Focusing on the polarized discourse around Robert Mueller’s congressional testimony in July 2019, we look at how these features are employed in conversations between politically aligned and opposed accounts. We use a mixed methods approach, employing grounded qualitative analysis to identify the different conversational and framing strategies salient in that discourse and then quantitatively analyzing how those techniques differed across the different features and political alignments. Our research (1) demonstrates that the quote feature is more often used to broadcast and reply is more often used to reframe the conversation; (2) identifies the different framing strategies that emerge through the use of these features when engaging with politically aligned vs. opposed accounts; (3) discusses how reply and quote features may be re-designed to reduce the adversarial tone of polarized conversations on Twitter-like platforms.

Funder

National Science Foundation

Craig Newmark Philanthropies

Foundation at the CIP

Publisher

Association for Computing Machinery (ACM)

Reference89 articles.

1. Alex. 2020. How to use quote retweets to grow your audience (with examples). Retrieved from https://tweethunter.io/blog/how-to-use-quote-retweets-to-grow-your-audience-with-examples. Accessed on July 30 2023.

2. Social Media, Science, and Attack Discourse: How Twitter Discussions of Climate Change Use Sarcasm and Incivility

3. Ahmer Arif, John J. Robinson, Stephanie A. Stanek, Elodie S. Fichet, Paul Townsend, Zena Worku, and Kate Starbird. 2017. A closer look at the self-correcting crowd: Examining corrections in online rumors. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. 155–168.

4. Exposure to opposing views on social media can increase political polarization

5. Hilda Bastian. 2022. Reflecting on twitter white flight & “quote tweet” tensions at mastodon. Retrieved from https://absolutelymaybe.plos.org/2022/12/01/reflecting-on-twitter-white-flight-quote-tweet-tensions-at-mastodon/. Accessed on July 30 2023.

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