Computational Communication Research (@ccr_openjournal) 's Twitter Profile
Computational Communication Research

@ccr_openjournal

Open Access Journal for Computational Communication Research. See computationalcommunication.org to read all articles and submit your contributions.

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calendar_today27-02-2020 20:18:21

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📢New Publication: "Are we projecting gender biases to ungendered things? Differences in referring to female versus male named hurricanes in 33 years of news coverage" Available now: aup-online.com/content/journa… Thanks to the authors! Ly Dinh Maria Janina Sarol Sullam Jeoung Jana Diesner

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📣Just published: "Political discussions in online oppositional communities in the non-democratic context" Available right here: computationalcommunication.org/ccr/article/vi…. Thanks and congratulations🎉 to Aidar Zinnatullin!

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New publication! 🚨 "Cross-Platform Information Flow and Multilingual Text Analysis: A Comparative Study of Weibo and Twitter Through Deep Learning", thanks to the talented zituo, Jiayi Zhu, Yixuan Xu, Donggyu Kim and Dmitri Williams. Available here: aup-online.com/content/journa…

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📣Just published: "Simulating Reputation Dynamics and Their Manipulation: An Agent Based Model Framework", with great thanks to the authors Torsten Ensslin, Viktoria Kainz, and Céline Bœhm 🇪🇺. Available now: aup-online.com/content/journa…

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📢Just out: "Word Embedding Enrichment for Dictionary Construction: An Example of Incivility in Cantonese". Congratulations to Hai Liang, Margaret NG and Nathan Tsang! Link: aup-online.com/content/journa…

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👀New article Computational Communication Research :"The speech we miss: How keyword-based data collection obscures youth participation in online political discourse". Thanks to the authors: Adina Gitomer, Sarah Shugars, @ryanjgallag, Stefan McCabe and Brooke Foucault Welles 🤓🐈‍⬛. Right here: aup-online.com/content/journa…

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New Paper! Jana Bernhard and @boomgaardenhg investigate the role of validation methods in topic model selection, showing how different approaches can influence the chosen model, impacting study results, and thus also theory development. Available here: doi.org/10.5117/CCR202…

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📢New article @ CCR! L. de Bruyne, Toni van der Meer, O. De Clercq and V. Hoste leverage machine learning models to analyze emotions in Dutch crisis-related tweets and introduces a framework for monitoring emotional climates on social media during crises. Link: doi.org/10.5117/CCR202…

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📣Just out: Daniel Thiele leverages word-embedding representations of dictionaries and machine translation to investigate user-generated populism in comments during COVID-19 in 7 European countries, finding varying effects of restrictive policies. doi.org/10.5117/CCR202…