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January 2018 MANIFESTATIONS of ISLAMOPHO
DIALOGUE & OUTREACH Department OIC Islamophobia Observatory Monthly Bulletin – January 2018 MANIFESTATIONS OF ISLAMOPHOBIA: A. In the United States and Canada: US: Minnesota Republicans under fire for saying Muslims are infiltrating the party— Two Minnesota Republican state lawmakers and a local GOP official were facing scrutiny after they reportedly shared a Facebook post accusing Muslims of preparing to “infiltrate” the party’s caucuses this month. State Reps. Kathy Lohmer and Cindy Pugh, shared the post created by Dave Sina, chairman of the Fourth Congressional District GOP. In the post, Sina said a friend of his had attended a caucus training session held at a mosque by the Muslim American Society. MAS was a nonpartisan organization that promoted civic engagement among American Muslims with local chapters across the US. Sina claimed that Muslims were trying to “infiltrate our republican caucuses on Feb. 6” and that “they didn’t talk about the general election but I am sure they are ahead of us in that as well.” The local party chair played to a sense of hysteria that American Muslims were, and would always be, foreigners who want political influence only to harm the country. See: The Huffington Post News’ entry, in: https://www.huffingtonpost.com/entry/minnesota-republicans-muslims- caucuses_us_5a7217b9e4b05253b2752e90, retrieved on 3.1.2018 US: Steve Bannon steps down from Breitbart News— Stephen Bannon had stepped down as executive chairman of Breitbart News, the company announced in an online post and a source close to Bannon confirmed. The former White House chief strategist faced mounting pressure to resign from Breitbart after he was quoted disparaging President Donald Trump and his family in a new book “Fire and Fury: Inside the Trump White House” by Michael Wolff. -
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Page 1 “A lie can travel halfway around the world while the truth is putting on its shoes.” Mark Twain’s quote is more relevant than ever in times of online communication, where information or misinformation, bundled in bits and bytes, streams around the earth within seconds. SUMMARY This UNICEF working paper aims to track and analyse online anti-vaccination sentiment in social media networks by examining conversations across social media in English, Russian, Romanian and Polish. The findings support the assumption that parents actively use social networks and blogs to inform their decisions on vaccinating their children. The paper proposes a research model that detects and clusters commonly-used keywords and intensity of user interaction. The end goal is the development of targeted and efficient engagement strategies for health and communication experts in the field as well as for partner organisations. DISCLAIMER UNICEF working papers aim to facilitate greater exchange of knowledge and stimulate analytical discussion on an issue. This text has not been edited to official publications standards. Extracts from this paper may be freely reproduced with due acknowledgement. For the purposes of this research, no personal data has been extracted and stored for data collection and analysis. Page 2 CONTENT 1. Rationale 4 2. Introduction 5 2.1 Social Media: the conversation shift 5 2.2 Social Media: Fertile ground for anti- 5 vaccination sentiment 2.3 Social Media Monitoring 7 2.4 Influencers 8 3. Research Objectives 9 4. Methodology 11 4.1 Descriptive and Explorative Research Design 11 4.2 Data Collection 12 4.3 Limitations 13 4.4 Ethical Considerations 13 5. -
What Is Gab? a Bastion of Free Speech Or an Alt-Right Echo Chamber?
What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber? Savvas Zannettou Barry Bradlyn Emiliano De Cristofaro Cyprus University of Technology Princeton Center for Theoretical Science University College London [email protected] [email protected] [email protected] Haewoon Kwak Michael Sirivianos Gianluca Stringhini Qatar Computing Research Institute Cyprus University of Technology University College London & Hamad Bin Khalifa University [email protected] [email protected] [email protected] Jeremy Blackburn University of Alabama at Birmingham [email protected] ABSTRACT ACM Reference Format: Over the past few years, a number of new “fringe” communities, Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Haewoon Kwak, like 4chan or certain subreddits, have gained traction on the Web Michael Sirivianos, Gianluca Stringhini, and Jeremy Blackburn. 2018. What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?. In WWW at a rapid pace. However, more often than not, little is known about ’18 Companion: The 2018 Web Conference Companion, April 23–27, 2018, Lyon, how they evolve or what kind of activities they attract, despite France. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3184558. recent research has shown that they influence how false informa- 3191531 tion reaches mainstream communities. This motivates the need to monitor these communities and analyze their impact on the Web’s information ecosystem. 1 INTRODUCTION In August 2016, a new social network called Gab was created The Web’s information ecosystem is composed of multiple com- as an alternative to Twitter. -
Sociotechnical Security As an Analytic Framework
Entanglements and Exploits: Sociotechnical Security as an Analytic Framework Data & Society Research Institute Columbia University Matt Goerzen, Elizabeth Anne Watkins, Open Technology Fund Research Fellow Gabrielle Lim, Abstract Unfortunately, platform-linked violence like the incidents in The rise of social media platforms has produced novel Christchurch and San Diego are not uncommon and are security threats and vulnerabilities. Malicious actors can unlikely to subside in the near future. Other forms of now exploit entanglements of once disparate technical and problematic and potentially dangerous content also social systems to target exposed communities. These proliferate. False and misleading content distributed on exploits pose a challenge to legacy security frameworks Whatsapp in India led to the murders of over two dozen drawn from technical and state-based conceptions of people in 2018 (Goel et al., 2018). The genocide of the referent objects and bounded information systems. In this Rohyinga in Myanmar was partially incited by the military paper we propose a new framework of analysis to meet this through disinformation and false accounts on Facebook challenge, Sociotechnical Security (STsec), which (Mozur, 2018). Facebook usage may also correlate with acknowledges how the interplay between actors produces higher rates of anti-refugee attacks in Germany (Müller and emergent threats to participant communities. This Schwarz 2018). Meanwhile, targeted harassment has been exploratory paper offers an overview of sociotechnical linked to self-censorship and a chilling effect on systems, explains why these threats and vulnerabilities internet-based communications (UN Office of the High require us to expand our understanding of security with Commissioner, 2017). Amnesty International in 2018, for regards to participatory technology, and how sociotechnical example, declared Twitter trolling of women a human rights security can be operationalized as a framework for analysis. -
Simple Interventions Limit the Influence of Fake News About Climate Change on Facebook
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Online Media and the 2016 US Presidential Election
Partisanship, Propaganda, and Disinformation: Online Media and the 2016 U.S. Presidential Election The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Faris, Robert M., Hal Roberts, Bruce Etling, Nikki Bourassa, Ethan Zuckerman, and Yochai Benkler. 2017. Partisanship, Propaganda, and Disinformation: Online Media and the 2016 U.S. Presidential Election. Berkman Klein Center for Internet & Society Research Paper. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:33759251 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA AUGUST 2017 PARTISANSHIP, Robert Faris Hal Roberts PROPAGANDA, & Bruce Etling Nikki Bourassa DISINFORMATION Ethan Zuckerman Yochai Benkler Online Media & the 2016 U.S. Presidential Election ACKNOWLEDGMENTS This paper is the result of months of effort and has only come to be as a result of the generous input of many people from the Berkman Klein Center and beyond. Jonas Kaiser and Paola Villarreal expanded our thinking around methods and interpretation. Brendan Roach provided excellent research assistance. Rebekah Heacock Jones helped get this research off the ground, and Justin Clark helped bring it home. We are grateful to Gretchen Weber, David Talbot, and Daniel Dennis Jones for their assistance in the production and publication of this study. This paper has also benefited from contributions of many outside the Berkman Klein community. The entire Media Cloud team at the Center for Civic Media at MIT’s Media Lab has been essential to this research. -
MIAMI UNIVERSITY the Graduate School
MIAMI UNIVERSITY The Graduate School Certificate for Approving the Dissertation We hereby approve the Dissertation of Bridget Christine Gelms Candidate for the Degree Doctor of Philosophy ______________________________________ Dr. Jason Palmeri, Director ______________________________________ Dr. Tim Lockridge, Reader ______________________________________ Dr. Michele Simmons, Reader ______________________________________ Dr. Lisa Weems, Graduate School Representative ABSTRACT VOLATILE VISIBILITY: THE EFFECTS OF ONLINE HARASSMENT ON FEMINIST CIRCULATION AND PUBLIC DISCOURSE by Bridget C. Gelms As our digital environments—in their inhabitants, communities, and cultures—have evolved, harassment, unfortunately, has become the status quo on the internet (Duggan, 2014 & 2017; Jane, 2014b). Harassment is an issue that disproportionately affects women, particularly women of color (Citron, 2014; Mantilla, 2015), LGBTQIA+ women (Herring et al., 2002; Warzel, 2016), and women who engage in social justice, civil rights, and feminist discourses (Cole, 2015; Davies, 2015; Jane, 2014a). Whitney Phillips (2015) notes that it’s politically significant to pay attention to issues of online harassment because this kind of invective calls “attention to dominant cultural mores” (p. 7). Keeping our finger on the pulse of such attitudes is imperative to understand who is excluded from digital publics and how these exclusions perpetuate racism and sexism to “preserve the internet as a space free of politics and thus free of challenge to white masculine heterosexual hegemony” (Higgin, 2013, n.p.). While rhetoric and writing as a field has a long history of examining myriad exclusionary practices that occur in public discourses, we still have much work to do in understanding how online harassment, particularly that which is gendered, manifests in digital publics and to what rhetorical effect. -
Arxiv:1905.12908V1 [Cs.SI] 30 May 2019 with an Assortativity Coefficient of R = .813
Algorithmic Detection and Analysis of Vaccine-Denialist Sentiment Clusters in Social Networks Bjarke Mønsteda, Sune Lehmanna,∗ a Technical University of Denmark, Applied Mathematics and Computer Science, 2800 Lyngby, Denmark Abstract Vaccination rates are decreasing in many areas of the world, and outbreaks of preventable diseases tend to follow in areas with particular low rates. Much research has been devoted to improving our understanding of the motivations behind vaccination decisions and the effects of various types of information offered to skeptics, no large-scale study of the structure of online vaccination discourse have been conducted. Here, we offer an approach to quantitatively study the vaccine discourse in an online system, exemplified by Twitter. We use train a deep neural network to predict tweet vaccine sentiments, surpassing state-of-the-art performance, at- taining two-class accuracy of 90:4%, and a three-class F1 of 0:762. We identify profiles which consistently produce strongly anti- and pro-vaccine content. We find that strongly anti-vaccine profiles primarily post links to Youtube, and commercial sites that make money on selling alternative health products, repre- senting a conflict of interest. We also visualize the network of repeated mutual interactions of actors in the vaccine discourse and find that it is highly stratified, arXiv:1905.12908v1 [cs.SI] 30 May 2019 with an assortativity coefficient of r = :813. Keywords: Vaccination, Machine Learning, Social Networks, Natural Language Processing ∗Corresponding author Email address: [email protected] (Sune Lehmann) Preprint submitted to Arxiv May 31, 2019 1. Introduction The effectiveness of vaccinations is highly dependent on a reliably high im- munization rate in the populace. -
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Proceedings of the Thirteenth International AAAI Conference on Web and Social Media (ICWSM 2019) Different Spirals of Sameness: A Study of Content Sharing in Mainstream and Alternative Media Benjamin D. Horne,* Jeppe Nørregaard,y Sibel Adalı* Rensselaer Polytechnic Institute*, Technical University of Denmarky [email protected], [email protected], [email protected] Abstract Vos, and Shoemaker 2009; Allcott and Gentzkow 2017; Mele et al. 2017). Thus, we may have a more diverse set of In this paper, we analyze content sharing between news news to read than in years past, but the standards of quality sources in the alternative and mainstream media using a dataset of 713K articles and 194 sources. We find that content have wavered, creating a new set of concerns. sharing happens in tightly formed communities, and these This rise in low-quality and potentially malicious news communities represent relatively homogeneous portions of producers has been the focus of many recent studies such the media landscape. Through a mix-method analysis, we as those focusing on detecting false content (Potthast et al. find several primary content sharing behaviors. First, we find 2017; Popat et al. 2016; Singhania, Fernandez, and Rao that the vast majority of shared articles are only shared with 2017; Horne et al. 2018; Baly et al. 2018). Some other stud- similar news sources (i.e. same community). Second, we find ies have focused on the tactics used to spread low-quality that despite these echo-chambers of sharing, specific sources, news, such as the use of social bots (Shao et al. 2017) such as The Drudge Report, mix content from both main- stream and conspiracy communities. -
BAB IV Kesimpulan 4.1 Kesimpulan Berdasarkan Hasil Analisis Secara
BAB IV Kesimpulan 4.1 Kesimpulan Berdasarkan hasil analisis secara mendalam terhadap tindakan Donald Trump yang merespon aksi anti-Muslim melalui Twitter yang dilakukan oleh Jayda Fransen yang merupakan seorang wakil pemimpin partai sayap kanan Britain First, secara tidak langsung hal tersebut berdampak terhadap peningkatan Islamophobia di AS, di mana peningkatan Islamophobia tersebut termasuk ke dalam peningkatan pada klaster pertama, klaster kedua, klaster ketiga, klaster keempat, dan klaster kelima. Peningkatan dalam Islamophobia tersebut diukur dengan melihat dari jenis klaster yang dicetuskan oleh S. Sayyid: Klaster pertama, di mana ada manifestasi Islamophobia melalui serangan terhadap orang-orang Muslim yang mencakup melakukan pelecehan, mendorong, meneriaki, dan menarik jilbab dari wanita Muslim; Klaster kedua, terjadi serangan terhadap properti yang dianggap terkait dengan Muslim: masjid, kuburan, tempat bisnis; Klaster ketiga, ada Islamophobia yang diwakili oleh tindakan intimidasi seperti kampanye atau iklan yang memperingati akan bahayanya Islam; Klaster keempat, perilaku pelecehan, penindasan, lelucon yang melewati batas, dan penilaian kinerja di mana mereka yang dianggap Muslim dikenakan perlakuan atau komentar yang merugikan. Klaster kelima, bentuk Islamophobia ini dapat diartikulasikan di situs-situs kebencian internet, surat kabar, majalah, atau media lainnya. 79 Hal ini bisa terjadi karena Trump, menurut teori psikoanalisis, memiliki konflik internal di mana ia tidak bisa menyeimbangkan antara id, ego, dan superego-nya sehingga tindakan yang dilakukannya berdasarkan hanya dari keinginannya saja. Ia tidak mempertimbangkan konsekuensi baik yang positif atau pun negatif yang dapat terjadi. Oleh karena itu ia memiliki kepribadian yang tidak sehat, dan tergolong ekstrem. Selain itu, sebagai presiden, sudah seharusnya Trump dapat menempatkan diri sebagai tokoh yang baik bagi masyarakat, sebagai tokoh panutan, dan tidak memanipulasi masyarakatnya. -
A Critical Discourse Analysis
How Facebook Comments Reflect Certain Characteristics Of Islamophobia: A Critical Discourse Analysis By Annabell Curci-Wallis UPPSALA UNIVERSITY Department of Theology Master Programme in Religion in Peace and Conflict Master thesis 30 credits Spring 2019 Supervisor: Mia Lövheim Facebook Comments and the Reflection of Characteristics of Islamophobia 2 Thank you: I am extremely grateful to my supervisor, Mia Lövheim, who was patient with me, advised me, and send insightful comments and suggestions even when she had the flu, so I could finish on time. I could not have done it without you. Thank you. I also like to say thank you to my husband, and my sweet daughter, who both supported me by giving me enough time and space, to finish my work. Abstract: This study is a contribution to the limited knowledge of how different types of media content (about Muslims and extremism) posted and shared on Facebook might influence corresponding user comments. Through analyzing the discourse of user comments this study aims to identify how comments might reflect certain characteristics of Islamophobia, and to which themes in Facebook posts commentators relate to the most. The linguistic analysis is guided by the use of critical discourse analysis. For the purpose of this study, three different types of articles/video and the corresponding comments are analyzed. Two of the articles/video that I will analyze are from unreliable media sources, and one of the articles is from a credible media source. The linguistic analysis showed that the majority of commentators expressed that they believe the claims made in the articles/video about Muslims and extremism are true. -
Analysis of Election Fraud in the 2020 US Election
2020 Analysis of Election Fraud in the 2020 US Election Insights from pressrelations GmbH Analysis period: 08/01/2016 –11/14/2020 2020 REPORTING OVER TIME The Subject of Election Fraud in US Media In 2016, Trump prepares the ground for his current accusations of election fraud by fraud - especially in the last few days. Starting on Election Day, reporting on the topic speaking of "illegal" votes for the first time. This narrative will be carried over one-to- was initially quite hesitant. The topic was mainly picked up by untrustworthy media one to the mail-in ballots in 2020. The narrative that Democrats wanted to "steal" the outlets. Reliable outlets picked up the topic after November 12th, right after Trump's election comes as a consequence of their call for absentee voting due to the tweet about the "deleted votes". coronavirus pandemic. The various allegations related to the technology for voting and counting votes used by Dominion Voting Systems make up a large part of the discussion about election Coverage on the topic of election fraud by number of contributions: August 2016 - November 2020 6.000 US Election 2020: Trump claims the election was stolen by fraud 5.000 Midterms 2018: Trump 4.000 accuses Democratic Party of US Elections 2016: manipulation of ballots by Trump: "Election could be millions of illegal third parties postponed to prevent mail-in 3.000 immigrants vote, election fraud". according to Donald Trump: "Hillary Clinton won 2.000 Trump 'popular vote' thanks to 3-5 million illegal votes" 1.000 0 Apr Apr Apr Apr Jan