scholarly journals Social Media Toxicity Classification Using Deep Learning: Real-World Application UK Brexit

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1332
Author(s):  
Hong Fan ◽  
Wu Du ◽  
Abdelghani Dahou ◽  
Ahmed A. Ewees ◽  
Dalia Yousri ◽  
...  

Social media has become an essential facet of modern society, wherein people share their opinions on a wide variety of topics. Social media is quickly becoming indispensable for a majority of people, and many cases of social media addiction have been documented. Social media platforms such as Twitter have demonstrated over the years the value they provide, such as connecting people from all over the world with different backgrounds. However, they have also shown harmful side effects that can have serious consequences. One such harmful side effect of social media is the immense toxicity that can be found in various discussions. The word toxic has become synonymous with online hate speech, internet trolling, and sometimes outrage culture. In this study, we build an efficient model to detect and classify toxicity in social media from user-generated content using the Bidirectional Encoder Representations from Transformers (BERT). The BERT pre-trained model and three of its variants has been fine-tuned on a well-known labeled toxic comment dataset, Kaggle public dataset (Toxic Comment Classification Challenge). Moreover, we test the proposed models with two datasets collected from Twitter from two different periods to detect toxicity in user-generated content (tweets) using hashtages belonging to the UK Brexit. The results showed that the proposed model can efficiently classify and analyze toxic tweets.

2019 ◽  
pp. 212-227
Author(s):  
Bradshaw Samantha ◽  
Howard Philip N.

The Internet and social media were originally viewed as democratizing technologies that would lead to a more vibrant digital public sphere. Following the outcomes of the 2016 US Presidential Election and the UK Brexit referendum, however, social media platforms have faced increasing criticism for allowing fake news, disinformation campaigns, and hate speech to spread. But how much bad information was spread? What can be done to address the problem? This chapter examines how social media algorithms and computational propaganda are reshaping public life. The authors explore how modern citizens are especially susceptible to computational propaganda, due not only to the prevalence of disinformation, but also to a political psychology that is often called “elective affinity” or “selective exposure.” The authors use their findings to discuss the responsibilities of both users and platforms for protecting the digital public sphere.


Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 167-179
Author(s):  
E.S. Nadezhkina

The term “digital public diplomacy” that appeared in the 21st century owes much to the emergence and development of the concept of Web 2.0 (interactive communication on the Internet). The principle of network interaction, in which the system becomes better with an increase in the number of users and the creation of user-generated content, made it possible to create social media platforms where news and entertainment content is created and moderated by the user. Such platforms have become an expression of the opinions of various groups of people in many countries of the world, including China. The Chinese segment of the Internet is “closed”, and many popular Western services are blocked in it. Studying the structure of Chinese social media platforms and microblogging, as well as analyzing targeted content is necessary to understand China’s public opinion, choose the right message channels and receive feedback for promoting the country’s public diplomacy. This paper reveals the main Chinese social media platforms and microblogging and provides the assessment of their popularity, as well as possibility of analyzing China’s public opinion based on “listening” to social media platforms and microblogging.


2020 ◽  
Vol 35 (6) ◽  
pp. 597-612
Author(s):  
Daniel Trottier

This article offers an exploratory account of press coverage of digitally mediated vigilantism. It considers how the UK press renders these events visible in a sustained and meaningful way. News reports and editorials add visibility to these events, and also make them more tangible when integrating content from social media platforms. In doing so, this coverage directs attention to a range of social actors, who may be perceived as responsible for these kinds of developments. In considering how other social actors are presented in relation to digital vigilantism, this study focusses on press accounts of those either initiating or being targeted by online denunciations, and also on a broader and often amorphous range of spectators to such events, often referred to as ‘internet mobs’. Relatedly, this article explores how specific practices related to digital vigilantism such as denunciation are expressed in press coverage, as well as coverage of motivations by the public to either participate or facilitate such practices. Reflecting on how the press represent mediated denunciation will illustrate not only how tabloids and broadsheets frame such practices, but also how they take advantage of connective and data-generating affordances associated with social platforms.


2019 ◽  
Vol 4 (1) ◽  
pp. 61
Author(s):  
Mufida Cahyani

The emergence of various kinds of social media applications does not only affect the way people communicate, but also penetrates into the realm of online mass media. Social media platforms that carry the concept of web 2.0 namely user generated content and network effects make it easy for a news to become viral in a short time, regardless of the validity and accuracy of the news. Web 2.0 itself is a direct application of the concept of Knowledge Management (KM) which emphasizes collaboration and user participation, but in a broader domain, it is slightly different from KM which emphasizes internal organizational participation. Hipwee as one of the social media-based online news sites applies both concepts to its content management. The purpose of this study was to analyze the extent of the application of KM in relation to Web 2.0. The method used to explore data through interviews with Hipwee managers and direct observation to the office location and also the Hipwee site. The results obtained are that the adaptation of the KM concept has not been applied to Web 2.0 on the Hipwee site, namely the concept of data mining, while the Web 2.0 concept has been applied to KM, namely unbounded collaboration, user generated content and network effects.


Author(s):  
Marco Bastos ◽  
Dan Mercea

In this article, we review our study of 13 493 bot-like Twitter accounts that tweeted during the UK European Union membership referendum debate and disappeared from the platform after the ballot. We discuss the methodological challenges and lessons learned from a study that emerged in a period of increasing weaponization of social media and mounting concerns about information warfare. We address the challenges and shortcomings involved in bot detection, the extent to which disinformation campaigns on social media are effective, valid metrics for user exposure, activation and engagement in the context of disinformation campaigns, unsupervised and supervised posting protocols, along with infrastructure and ethical issues associated with social sciences research based on large-scale social media data. We argue for improving researchers' access to data associated with contentious issues and suggest that social media platforms should offer public application programming interfaces to allow researchers access to content generated on their networks. We conclude with reflections on the relevance of this research agenda to public policy. This article is part of a discussion meeting issue ‘The growing ubiquity of algorithms in society: implications, impacts and innovations'.


2021 ◽  
Vol 31 (2) ◽  
pp. 269-276
Author(s):  
Prashanth Bhat

Widespread dissemination of hate speech on corporate social media platforms such as Twitter, Facebook, and YouTube has necessitated technological companies to moderate content on their platforms. At the receiving end of these content moderation efforts are supporters of right-wing populist parties, who have gained notoriety for harassing journalists, spreading disinformation, and vilifying liberal activists. In recent months, several prominent right-wing figures across the world were removed from social media - a phenomenon also known as ‘deplatforming’- for violating platform policies. Prominent among such right-wing groups are online supporters of the Hindu nationalist Bharatiya Janata Party (BJP) in India, who have begun accusing corporate social media of pursuing a ‘liberal agenda’ and ‘curtailing free speech.’ In response to deplatforming, the BJP-led Government of India has aggressively promoted and embraced Koo, an indigenously developed social media platform. This commentary examines the implications of this alternative social platform for the online communicative environment in the Indian public sphere.


Author(s):  
Irina Yankova ◽  
Wilson Ozuem

The field of marketing communications studies is often called on to close the gap between marketing and computer-mediated studies. This chapter engages with the concept of social media in the design and implementation of marketing communication programmes, particularly in the UK Fashion sector. The chapter goes on to conclude, rather sceptically, that understandings of the various nuances of social media platforms could engender effective customer retention programmes. It also offers a new way of thinking about customer engagement, incorporating social media platforms.


Author(s):  
Niray Tunçel ◽  
Nihan Yılmaz

Social media marketing is a new form of communication between firms and consumers. The interactive nature of social media platforms enables consumers to share their perceptions about firms by creating their own content in various forms. Besides, firms are able to attract and engage with consumers through creating effective content on their social media channels. Both user-generated content (UGC) and firm-generated content (FGC) have a significant role in firm performance and consumer behavior. However, the previous studies have mostly focused on the effects of UGC and addressed the issue from the consumer side. Therefore, as distinct from existing studies, the study at hand addresses the specific effects and benefits of UGC and FGC from both the firm and consumer sides, within a theoretical framework. In addition, based on the findings of the reviewed studies, the chapter presents some practical implications for business.


2019 ◽  
pp. 174387211988012 ◽  
Author(s):  
Anne Wagner ◽  
Sarah Marusek

The legitimacy of public memory and socially normative standards of civility is questioned through rumors that abound on online social media platforms. On the Net, the proclivity of rumors is particularly prone to acts of bullying and frameworks of hate speech. Legislative attempts to limit rumors operate differently in France and throughout Europe from the United States. This article examines the impact of online rumors, the mob mentality, and the politicization of bullying critics within a cyber culture that operates within the limitations of law.


European View ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 210-219
Author(s):  
Juha-Pekka Nurvala ◽  
Amelia Buckell

This article argues that media regulations on correcting incorrect articles are in dire need of reform due to technological and behavioural changes. By using case studies from the UK, the authors demonstrate the huge difference between the number of people who were reached by the original article before the Independent Press Standards Organisation (the regulator in the UK) ruled it incorrect and the number reached by the correction or corrected article. The authors argue that media regulations must be reformed to ensure that corrections reach the same people as the original incorrect article to avoid misinformation impacting peoples’ decision-making, and that reforms must include social media platforms and search engines.


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