scholarly journals Delegitimising Data Subjects’ Economic Interests During Automatic Propertisation of Their Data: A Comparative Study of Data Protection on Social Media Platforms in the UK and China

2022 ◽  
pp. 205943642110608
Author(s):  
Janet Hui Xue
Keyword(s):  
Social Media ◽  
Comparative Study ◽  
Data Protection ◽  
Personal Information ◽  
Economic Interests ◽  
Depth Analysis ◽  
Regulatory Approach ◽  
Social Media Platforms ◽  
The Uk ◽  
The Impact

Social media platforms (SMPs) generate revenue from the automatic propertisation of data contributed by users (i.e. they process these data algorithmically to feed products and services they sell to other customers, especially advertisers). This comparative study of the UK and China builds on key law and policy documents as well as in-depth interviews with 25 experts. We find that neither the human rights–based regulatory approach in the UK nor the impact-based approach of China provides users with economically meaningful forms of redress for harm suffered due to insufficient protection of their rights as data subjects. The study reveals the reasons for this: (1) by analysing data subjects’ rights in data protection law and establishing whether these rights preserve the economic interests of data subjects pertaining to their data; (2) by spelling out the conditions under which users can exercise their rights and (3) through an in-depth analysis of the existing mechanisms, which are not suitable to protect data subjects’ economic interests during automatic propertisation. This also helps us to understand the social impacts of China’s recently approved Personal Information Protection Law. Finally, it suggests two possible ways to improve the balance between the economic interests of data controllers and data subjects.

scholarly journals Defending the media from itself: Reforming media regulations to minimise the impact of misinformation

European View ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 210-219
Author(s):  
Juha-Pekka Nurvala ◽  
Amelia Buckell
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Case Studies ◽  
Search Engines ◽  
Behavioural Changes ◽  
Social Media Platforms ◽  
The Media ◽  
The Uk ◽  
The Impact

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.

Data protection in the United Kingdom: Part 1

1983 ◽  
Vol 7 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Anne Crook
Keyword(s):  
United Kingdom ◽  
Computer Security ◽  
Data Protection ◽  
Data Privacy ◽  
Personal Information ◽  
The United Kingdom ◽  
Privacy Problem ◽  
The Individual ◽  
The Uk ◽  
The Impact

The United Kingdom Government is about to enact legisla tion for data protection. It is intended that this will safeguard the pnvacy of the individual which is seen to be threatened by the increasing use and capabilities of computerised personal information systems. There are also fears that the British computer and data processing industries will be at a disad vantage when competing in the international market without legislation equivalent to that already operating in other coun tries. The legislation will enable the UK to ratify the Council of Europe Data Protection Convention and to comply with the OECD Guidelines on Transborder Data Flow. Data protection is a valuable example of the interaction of information technology and society. This paper presents an overview of the issues involved. It examines what is meant by data privacy and how that privacy may be infringed by the use of both computerised and manual record systems. The impact of technology on the privacy problem is descnbed, including linkage of computer systems and the contribution of computer security. The need for legislation is discussed, both within the context of the international situation and of the early attempts at domestic legislation.

scholarly journals Corporate Social Responsibility Disclosure: Responding to Investors’ Criticism on Social Media

2021 ◽  
Vol 18 (14) ◽  
pp. 7396
Author(s):  
Yuming Zhang ◽  
Fan Yang
Keyword(s):  
Social Media ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Social Issues ◽  
Media Criticism ◽  
Csr Communication ◽  
Depth Analysis ◽  
Csr Disclosure ◽  
Corporate Social ◽  
The Impact

Companies use corporate social responsibility (CSR) disclosures to communicate their social and environmental policies, practices, and performance to stakeholders. Although the determinants and outcomes of CSR activities are well understood, we know little about how companies use CSR communication to manage a crisis. The few relevant CSR studies have focused on the pressure on corporations exerted by governments, customers, the media, or the public. Although investors have a significant influence on firm value, this stakeholder group has been neglected in research on CSR disclosure. Grounded in legitimacy theory and agency theory, this study uses a sample of Chinese public companies listed on the Shanghai Stock Exchange to investigate CSR disclosure in response to social media criticism posted by investors. The empirical findings show that investors’ social media criticism not only motivates companies to disclose their CSR activities but also increases the substantiveness of their CSR reports, demonstrating that companies’ CSR communication in response to a crisis is substantive rather than merely symbolic. We also find that the impact of social media criticism on CSR disclosure is heterogeneous. Non-state-owned enterprises, companies in regions with high levels of environmental regulations, and companies in regions with local government concern about social issues are most likely to disclose CSR information and report substantive CSR activities. We provide an in-depth analysis of corporate CSR strategies for crisis management and show that crises initiated by investors on social media provide opportunities for corporations to improve their CSR engagement.

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 ◽  
...  
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Modern Society ◽  
User Generated Content ◽  
Real World Application ◽  
Proposed Model ◽  
Social Media Platforms ◽  
Public Dataset ◽  
The Uk ◽  
Harmful Side Effect

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.

scholarly journals 1414. #Vaccine Twitter Influencers: is it Just About Reach and Followers?

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S714-S715
Author(s):  
Jean-Etienne Poirrier ◽  
Theodore Caputi ◽  
John Ayers ◽  
Mark Dredze ◽  
Sara Poston ◽  
...  
Keyword(s):  
United States ◽  
Social Media ◽  
Standard Deviation ◽  
Small Proportion ◽  
The United States ◽  
Research Support ◽  
Policy Makers ◽  
Media Messages ◽  
Social Media Platforms ◽  
The Impact

Abstract Background A small number of powerful users (“influencers”) dominates conversations on social media platforms: less than 1% of Twitter accounts have at least 3,000 followers and even fewer have hundreds of thousands or millions of followers. Beyond simple metrics (number of tweets, retweets...) little is known about these “influencers”, particularly in relation to their role in shaping online narratives about vaccines. Our goal was to describe influential Twitter accounts that are driving conversations about vaccines and present new metrics of influence. Methods Using publicly-available data from Twitter, we selected posts from 1-Jan-2016 to 31-Dec-2018 and extracted the top 5% of accounts tweeting about vaccines with the most followers. Using automated classifiers, we determined the location of these accounts, and grouped them into those that primarily tweet pro- versus anti-vaccine content. We further characterized the demographics of these influencer accounts. Results From 25,381 vaccine-related tweets available in our sample representing 10,607 users, 530 accounts represented the top 5% by number of followers. These accounts had on average 1,608,637 followers (standard deviation=5,063,421) and 340,390 median followers. Among the accounts for which sentiment was successfully estimated by the classifier, 10.4% (n=55) posted anti-vaccine content and 33.6% (n=178) posted pro-vaccine content. Of the 55 anti-vaccine accounts, 50% (n=18) of the accounts for which location was successfully determined were from the United States. Of the 178 pro-vaccine accounts, 42.5% (n=54) were from the United States. Conclusion This study showed that only a small proportion of Twitter accounts (A) post about vaccines and (B) have a high follower count and post anti-vaccine content. Further analysis of these users may help researchers and policy makers better understand how to amplify the impact of pro-vaccine social media messages. Disclosures Jean-Etienne Poirrier, PhD, MBA, The GSK group of companies (Employee, Shareholder) Theodore Caputi, PhD, Good Analytics Inc. (Consultant) John Ayers, PhD, GSK (Grant/Research Support) Mark Dredze, PhD, Bloomberg LP (Consultant)Good Analytics (Consultant) Sara Poston, PharmD, The GlaxoSmithKline group of companies (Employee, Shareholder) Cosmina Hogea, PhD, GlaxoSmithKline (Employee, Shareholder)

Understanding the Experiences of Anger in the Onset and Progression of Psoriasis: A Qualitative Study Using Social Media (Preprint)

2021 ◽  
Author(s):  
Olivia Hughes ◽  
Rachael Hunter
Keyword(s):  
Social Media ◽  
Qualitative Interviews ◽  
Psychosocial Interventions ◽  
Skin Condition ◽  
Future Research ◽  
Social Media Platforms ◽  
Chronic Skin ◽  
Skin Conditions ◽  
The Impact

BACKGROUND Psoriasis is a chronic inflammatory skin condition, which can be affected by stress. Living with psoriasis can trigger negative emotions, which may influence quality of life. OBJECTIVE This study explored the experiences of people with psoriasis with attention to the potential role of anger in the onset and progression of the chronic skin condition. METHODS Semi-structured qualitative interviews were conducted with twelve participants (n=5 females, n=7 males) recruited online from an advert on a patient charity’s social media platforms. Data were transcribed and analysed using thematic analysis. RESULTS Four key themes were identified: (1) ‘I get really angry with the whole situation:’ anger at the self and others, (2) the impact of anger on psoriasis: angry skin, (3) shared experiences of distress, and (4) moving past anger to affirmation. CONCLUSIONS Findings suggest that anger can have a perceived impact on psoriasis through contributing to sensory symptoms and unhelpful coping cycles and point to a need for enhanced treatment with more psychological support. The findings also highlight the continued stigma which exists for people living with skin conditions and how this may contribute to, and sustain, anger for those individuals. Future research could usefully focus on developing targeted psychosocial interventions to promote healthy emotional coping with psoriasis.

scholarly journals Confronting the digital mob: Press coverage of online justice seeking

2020 ◽  
Vol 35 (6) ◽  
pp. 597-612
Author(s):  
Daniel Trottier
Keyword(s):  
Social Media ◽  
Press Coverage ◽  
Social Actors ◽  
The Public ◽  
News Reports ◽  
The Press ◽  
Social Media Platforms ◽  
The Uk

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.

scholarly journals Quantifying and contextualizing the impact of bioRxiv preprints through automated social media audience segmentation

2020 ◽  
Author(s):  
Jedidiah Carlson ◽  
Kelley Harris
Keyword(s):  
Social Media ◽  
Video Game ◽  
Research Evaluation ◽  
Right Wing ◽  
Religious Groups ◽  
Audience Segmentation ◽  
Social Media Platforms ◽  
Game Developers ◽  
The Impact ◽  
Media Audience

AbstractEngagement with scientific manuscripts is frequently facilitated by Twitter and other social media platforms. As such, the demographics of a paper’s social media audience provide a wealth of information about how scholarly research is transmitted, consumed, and interpreted by online communities. By paying attention to public perceptions of their publications, scientists can learn whether their research is stimulating positive scholarly and public thought. They can also become aware of potentially negative patterns of interest from groups that misinterpret their work in harmful ways, either willfully or unintentionally, and devise strategies for altering their messaging to mitigate these impacts. In this study, we collected 331,696 Twitter posts referencing 1,800 highly tweeted bioRxiv preprints and leveraged topic modeling to infer the characteristics of various communities engaging with each preprint on Twitter. We agnostically learned the characteristics of these audience sectors from keywords each user’s followers provide in their Twitter biographies. We estimate that 96% of the preprints analyzed are dominated by academic audiences on Twitter, suggesting that social media attention does not always correspond to greater public exposure. We further demonstrate how our audience segmentation method can quantify the level of interest from non-specialist audience sectors such as mental health advocates, dog lovers, video game developers, vegans, bitcoin investors, conspiracy theorists, journalists, religious groups, and political constituencies. Surprisingly, we also found that 10% of the highly tweeted preprints analyzed have sizable (>5%) audience sectors that are associated with right-wing white nationalist communities. Although none of these preprints intentionally espouse any right-wing extremist messages, cases exist where extremist appropriation comprises more than 50% of the tweets referencing a given preprint. These results present unique opportunities for improving and contextualizing research evaluation as well as shedding light on the unavoidable challenges of scientific discourse afforded by social media.

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