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This article is concerned with identifying the ideological and techno-material parameters that inform Facebook’s approach to racism and racist contents. The analysis aims to contribute to studies of digital racism by showing Facebook’s ideological position on racism and identifying its implications. To understand Facebook’s approach to racism, the article deconstructs its governance structures, locating racism as a sub-category of hate speech. The key findings show that Facebook adopts a post-racial, race-blind approach that does not consider history and material differences, while its main focus is on enforcement, data, and efficiency. In making sense of these findings, we argue that Facebook’s content governance turns hate speech from a question of ethics, politics, and justice into a technical and logistical problem. Secondly, it socializes users into developing behaviors/contents that adapt to race-blindness, leading to the circulation of a kind of flexible racism. Finally, it spreads this approach from Silicon Valley to the rest of the world.

Amid mounting death tolls in Iraq, Syria, and Yemen, sectarian discourse is
on the rise across the Arab world—particularly in the online sphere, where
extremist voices are amplified and violent imagery and rhetoric spreads rapidly.
Despite this, social media also provides a space for cross-sectarian discourse
and activism. Analysis of over 7 million Arabic tweets from February to August
2015 suggests that violent events and social network structures play key roles
in the transmission of this sectarian and countersectarian rhetoric on Twitter.

This paper considers American strategies for countering ISIS social media, focusing on notions of narrative and rational debate in the Web 2.0 era. In addition to chronicling an evolution in American governmental ideas about the online public sphere, the paper looks specifically at the work of Al-Tamimi, an open source journalist who verifies and catalogues original ISIS documentation. Using both textual analyses and long-form interviews with Al-Tamimi as evidence, the paper argues that Al-Tamimi’s archival work serves to disrupt emotionally driven, logically questionable narratives about ISIS, whether they emerge from the group itself or its Western opponents.

Social media are useful facilitators when recruiting hidden populations for research. In our research on youth and radicalization, we were able to find and contact young people with extreme ideals through Facebook. In this article, we discuss our experiences using Facebook as a tool for finding respondents who do not trust researchers. Facebook helped us recruit youths with extreme Islamic and extreme left-wing ideals. We conclude by discussing the benefits and limitations of using Facebook when searching for and approaching populations who are difficult to reach.

This paper summarizes discussions held on 24 May 2016 in Riga, Latvia, which focused on exploring the Kremlin and DAESH information activities in order to improve our understanding of the nature of these communications and their effect on Western societies. The questions discussed were:

How are the communications and messages of DAESH and the Kremlin constructed and disseminated?

Are their methods changing?

Why do such messages appeal to youth, even if they are familiar with Western Values and consumerism?

What are the weakest aspects of our information environment and what can we do to improve?

Social media systems allow Internet users a congenial platform to freely express their thoughts and opinions. Although this property represents incredible and unique communication opportunities, it also brings along important challenges. Online hate speech is an archetypal example of such challenges. Despite its magnitude and scale, there is a significant gap in understanding the nature of hate speech on social media. In this paper, we provide the first of a kind systematic large scale measurement study of the main targets of hate speech in online social media. To do that, we gather traces from two social media systems: Whisper and Twitter. We then develop and validate a methodology to identify hate speech on both these systems. Our results identify online hate speech forms and offer a broader understanding of the phenomenon, providing directions for prevention and detection approaches.