False News On Social Media: A Data-Driven Survey

In the past few years, the research community has dedicated growing interest to the issue of false news circulating on social networks. The widespread attention on detecting and characterizing false news has been motivated by considerable backlashes of this threat against the real world. As a matter of fact, social media platforms exhibit peculiar characteristics, with respect to traditional news outlets, which have been particularly favorable to the proliferation of deceptive information. They also present unique challenges for all kind of potential interventions on the subject. As this issue becomes of global concern, it is also gaining more attention in academia. The aim of this survey is to offer a comprehensive study on the recent advances in terms of detection, characterization and mitigation of false news that propagate on social media, as well as the challenges and the open questions that await future research on the field. We use a data-driven approach, focusing on a classification of the features that are used in each study to characterize false information and on the datasets used for instructing classification methods. At the end of the survey, we highlight emerging approaches that look most promising for addressing false news

Internet Utopianism and the Practical Inevitability of Law

Writing at the dawn of the digital era, John Perry Barlow proclaimed cyberspace to be a new domain of pure freedom. Addressing the nations of the world, he cautioned that their laws, which were “based on matter,” simply did not speak to conduct in the new virtual realm. As both Barlow and the cyberlaw scholars who took up his call recognized, that was not so much a statement of fact as it was an exercise in deliberate utopianism. But it has proved prescient in a way that they certainly did not intend. The “laws” that increasingly have no meaning in online environments include not only the mandates of market regulators but also the guarantees that supposedly protect the fundamental rights of internet users, including the expressive and associational freedoms whose supremacy Barlow asserted. More generally, in the networked information era, protections for fundamental human rights — both on- and offline — have begun to fail comprehensively. Cyberlaw scholarship in the Barlowian mold isn’t to blame for the worldwide erosion of protections for fundamental rights, but it also hasn’t helped as much as it might have. In this essay, adapted from a forthcoming book on the evolution of legal institutions in the information era, I identify and briefly examine three intersecting flavors of internet utopianism in cyberlegal thought that are worth reexamining. It has become increasingly apparent that functioning legal institutions have indispensable roles to play in protecting and advancing human freedom. It has also become increasingly apparent, however, that the legal institutions we need are different than the ones we have

The Pornography Industry\u27s Disinformation Campaign on Addiction Recovery Resources

As pornography became increasingly popular online, many unsuspecting consumers reported adverse effects. These included sexual dysfunctions, such as lack of response with real partners, delayed ejaculation, erectile difficulties, and sexual compulsivity. Some pornography consumers began congregating in online self-help portals (forums and websites) to assist one another in quitting or reducing problematic pornography use. The popularity of the self-help resources and their potential to dampen the profits of a lucrative industry resulted in disinformation campaigns run by individuals connected to the pornography industry. In this article, I examine how a paper containing significant inaccuracies about the people organising the online recovery forums passed the peer-review process while failing to disclose the author’s conflicts of interest. The author of the case study has documented affiliations with a major pornography company, MindGeek (the owner of Pornhub). Somehow, it passed peer review, lending it a false halo of credibility. Pornography industry-connected individuals then repeatedly exploited it, for example, on social media and Wikipedia, to discredit pornography self-help recovery resources

Quantifying Biases in Online Information Exposure

Our consumption of online information is mediated by filtering, ranking, and recommendation algorithms that introduce unintentional biases as they attempt to deliver relevant and engaging content. It has been suggested that our reliance on online technologies such as search engines and social media may limit exposure to diverse points of view and make us vulnerable to manipulation by disinformation. In this paper, we mine a massive dataset of Web traffic to quantify two kinds of bias: (i) homogeneity bias, which is the tendency to consume content from a narrow set of information sources, and (ii) popularity bias, which is the selective exposure to content from top sites. Our analysis reveals different bias levels across several widely used Web platforms. Search exposes users to a diverse set of sources, while social media traffic tends to exhibit high popularity and homogeneity bias. When we focus our analysis on traffic to news sites, we find higher levels of popularity bias, with smaller differences across applications. Overall, our results quantify the extent to which our choices of online systems confine us inside "social bubbles."Comment: 25 pages, 10 figures, to appear in the Journal of the Association for Information Science and Technology (JASIST