Online Library

Nick Drnaso’s graphic novel Sabrina provides a powerful snapshot of online norms. The picture is not pretty. A young woman goes missing. Her grief-struck boyfriend cannot bear to stay in their home and escapes to a friend’s house. Her sister struggles with the pain of her loss. We learn that the woman’s neighbor, a misogynist loner, killed her and recorded the murder. Online, people clamor for the video. The execution video leaks and goes viral. The media hounds the woman’s sister and her boyfriend. A conspiracy theorist with a popular radio show argues that the murder is a deep-state hoax. He gins up a cyber mob to “investigate” what is really going on. A cyber mob descends. The woman’s family, boyfriend, and her boyfriend’s friend are smeared as crisis actors. They are barraged with death threats, and their personal information is posted far and wide. The attacks continue until a shooting massacre captures the conspiracy theorist’s attention. The cyber mob redirects its wrath at other mourners. The novel raises important questions about the interaction of human behavior, culture, and law in the digital age. What compels people to like, click, and share grotesque execution videos, conspiracy theories, and destructive falsehoods? We have always been drawn to information that resonates with us, but the online environment seems to supercharge human biases. Why? Platforms structure and shape online activity, so what are they doing about online abuse? Each and every one of us is ultimately responsible for liking, clicking, and sharing the destruction. How can we work to change our behavior?

Policy advice for EU member states on how to tackle jihadist online recruitment techniques.

The use of “Big Data” in policy and decision making is a current topic of debate. The 2013 murder of Drummer Lee Rigby in Woolwich, London, UK led to an extensive public reaction on social media, providing the opportunity to study the spread of online hate speech (cyber hate) on Twitter. Human annotated Twitter data was collected in the immediate aftermath of Rigby’s murder to train and test a supervised machine learning text classifier that distinguishes between hateful and/or antagonistic responses with a focus on race, ethnicity, or religion; and more general responses. Classification features were derived from the content of each tweet, including grammatical dependencies between words to recognize “othering” phrases, incitement to respond with antagonistic action, and claims of well-founded or justified discrimination against social groups. The results of the classifier were optimal using a combination of probabilistic, rule-based, and spatial-based classifiers with a voted ensemble meta-classifier. We demonstrate how the results of the classifier can be robustly utilized in a statistical model used to forecast the likely spread of cyber hate in a sample of Twitter data. The applications to policy and decision making are discussed.

The Internet and online spaces have come to play a significant role in discussions over both terrorism and methods to counter it. Recent events have highlighted the role that such online spaces and networks can play in irregular violence. The growth of the Islamic State in Iraq and Syria came with a canon of slick social media videos and online propaganda, aimed at encouraging individuals from throughout the world to pledge support to Da’esh, participate in the state-building process in as-Sham, or to “stay in place” and commit attacks in their home countries.

A revealing and gripping investigation into how social media platforms police what we post online—and the large societal impact of these decisions. Most users want their Twitter feed, Facebook page, and YouTube comments to be free of harassment and porn. Whether faced with “fake news” or livestreamed violence, “content moderators”—who censor or promote user-posted content—have never been more important. This is especially true when the tools that social media platforms use to curb trolling, ban hate speech, and censor pornography can also silence the speech you need to hear.

In this revealing and nuanced exploration, award-winning sociologist and cultural observer Tarleton Gillespie provides an overview of current social media practices and explains the underlying rationales for how, when, and why these policies are enforced. In doing so, Gillespie highlights that content moderation receives too little public scrutiny even as it is shapes social norms and creates consequences for public discourse, cultural production, and the fabric of society. Based on interviews with content moderators, creators, and consumers, this accessible, timely book is a must-read for anyone who’s ever clicked “like” or “retweet.”