Towards quality discourse in online news comments

By Nicholas A. Diakopoulos, Mor Naaman. Conference on Computer Supported Cooperative Work, 2011

341 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/57dfd8ff7566134062e77119762ccfebc01791c9

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In Artificial Intelligence

In Statistical and Nonlinear Physics

Citations in the corpus

To Buy or to Read: How a Platform Shapes Reviewing Behavior (2021, background): “Both platforms use post-moderation (Diakopoulos and Naaman 2011), by enabling users to provide feedback on reviews.”
Social media engagement: What motivates user participation and consumption on YouTube? (2017, background): “In fact, users not only gain gratifications from writing comments but also reading them (Diakopoulos & Naaman, 2011).”
How Community Feedback Shapes User Behavior (2014, background): “News commenting systems have also been analyzed from a community design perspective (Mishne and Glance 2006; Gilbert, Bergstrom, and Karahalios 2009; Diakopoulos and Naaman 2011), including a particular focus on understanding what types of articles are likely to attract a large volume of user…”
Breaking the filter bubble: democracy and design (2015, background): “Otherwise simply showing contradictory views might lead to ﬂaming (Diakopoulos and Naaman 2011), (6) Empha-sizing to the user that algorithmic selection is always a contest, one that is choosing from contrary perspectives.”
Antisocial Behavior in Online Discussion Communities (2015, background): “Prior work also identified post frequency as a signal of a low quality discussion (Diakopoulos and Naaman 2011).”
Human-Machine Collaboration for Content Regulation: The Case of Reddit Automoderator (2019, background): “Thus, they are well-suited to understand the local social norms and mores of the community [29].”
Towards a sociology of computational and algorithmic journalism (2013, background): “A series of genuinely path-breaking articles by Diakopoulos et al. (Diakopoulos et al., 2010, 2011; Diakopoulos and Naaman, 2011) represent well both the promise and the limitations of computational journalism research that draws primarily on the discipline of computer science; the primary focus of…”
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions (2017, background): “Nonetheless, on the majority of popular web sites which continue to allow discussions, antisocial behavior continues to be prevalent [18, 24, 30].”
Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation (2017, background): “Studying news platform comment moderation, Diakopoulos and Naaman found that media organisations acknowledge that moderators bring their own biases to the evaluation of standards [14].”