scholarly journals The Soap Box as a Black Box: Regulating transparency in social media recommender systems

Author(s):  
Paddy Leerssen

NOW AVAILABLE IN OPEN ACCESS AT THE EUROPEAN JOURNAL OF LAW AND TECHNOLOGY: https://ejlt.org/index.php/ejlt/article/view/786 Social media recommender systems play a central role in determining what content is seen online, and what remains hidden. As a point of control for media governance, they are subject to intense controversy and, increasingly, regulation by European policymakers. A recurring theme in such efforts is transparency, but this is an ambiguous concept that can be implemented in various ways depending on the types of accountability one envisages. This paper maps and critiques the various efforts at regulating social media recommendation transparency in Europe, and the types of accountability they pursue. This paper identifies three different categories of disclosure rules in recent policymaking: (1) user-facing disclaimers, (2) government auditing and (3) data-sharing partnerships with academia and civil society. Despite their limitations and pitfalls, it is argued, each of these approaches has a potential added value for media governance as part of a tiered, variegated landscape of transparency rules. However, an important element is missing: public disclosures. Given the deeply political and value-laden context of media governance, it is argued, this field cannot rely exclusively on technocratic, institutionalized forms of transparency emphasized in current proposals. The final section articulates the distinct benefits of public disclosures as a supplement to existing transparency measures, and suggests starting points for their design and regulation.

2020 ◽  
Author(s):  
Nicholas Fabiano ◽  
Zachary Hallgrimson ◽  
Sakib Kazi ◽  
Jean-Paul Salameh ◽  
Stanley Wong ◽  
...  

BACKGROUND The COVID-19 pandemic has resulted in over 1,000,000 cases across 181 countries worldwide. The global impact of COVID-19 has resulted in a surge of related research. Researchers have turned to social media platforms, namely Twitter, to disseminate their studies. The online database Altmetric is a tool which tracks the social media metrics of articles and is complementary to traditional, citation-based metrics. Citation-based metrics may fail to portray dissemination accurately, due to the lengthy publication process. Altmetrics are not subject to this time-lag, suggesting that they may be an effective marker of research dissemination during the COVID-19 pandemic. OBJECTIVE To assess the dissemination of COVID-19 research articles as measured by Twitter dissemination, compared to traditional citation-based metrics, and determine study characteristics associated with tweet rates. METHODS COVID-19 studies obtained from LitCovid published between January 1st to March 18th, 2020 were screened for inclusion. The following study characteristics were extracted independently, in single: Topic (General Info, Mechanism, Diagnosis, Transmission, Treatment, Prevention, Case Report, and Epidemic Forecasting), open access status (open access and subscription-based), continent of corresponding author (Asia, Australia, Africa, North America, South America, and Europe), tweets, and citations. A sign test was used to compare the tweet rate and citation rate per day. A negative binomial regression analysis was conducted to evaluate the association between tweet rate and study characteristics of interest. RESULTS 1328 studies were included in the analysis. Tweet rates were found to be significantly higher than citation rates for COVID-19 studies, with a median tweet rate of 1.09 (SD 156.95) tweets per day and median citation rate of 0.00 (SD 3.02) citations per day, resulting in a median of differences of 1.09 (95% CI 0.86-1.33, P < .001). 2018 journal impact factors were positively correlated with tweet rate (P < .001). The topics Diagnosis (P = .01), Transmission (P < .001), Treatment (P = .01), and Epidemic Forecasting (P < 0.001) were positively correlated with tweet rate, relative to Case Report. The following continents of the corresponding author were negatively correlated with tweet rate, Africa (P <.001), Australia (P = .03), and South America (P < .001), relative to Asia. Open access journals were negatively correlated with tweet rate, relative to subscription-based journals (P < .001). CONCLUSIONS COVID-19 studies had significantly higher tweets rates compared to citation rates. This study further identified study characteristics that are correlated with the dissemination of studies on Twitter, such as 2018 journal impact factor, continent of the corresponding author, topic of study, and open access status. This highlights the importance of altmetrics in periods of rapidly expanding research, such as the COVID-19 pandemic to localize highly disseminated articles.


2021 ◽  
Author(s):  
Dhikshitha Gokulakrishnan ◽  
Sarah E. Butler ◽  
Dominic W. Proctor ◽  
Maarja‐Liis Ferry ◽  
Rajiv Sethi

2020 ◽  
Vol 65 (9) ◽  
pp. 1797-1802
Author(s):  
Thomy Tonia ◽  
Herman Van Oyen ◽  
Anke Berger ◽  
Christian Schindler ◽  
Nino Künzli

Abstract Objectives We previously reported that random assignment of scientific articles to a social media exposure intervention did not have an effect on article downloads and citations. In this paper, we investigate whether longer observation time after exposure to a social media intervention has altered the previously reported results. Methods For articles published in the International Journal of Public Health between December 2012 and December 2014, we updated article download and citation data for a minimum of 24-month follow-up. We re-analysed the effect of social media exposure on article downloads and citations. Results There was no difference between intervention and control group in terms of downloads (p = 0.72) and citations (p= 0.30) for all papers and when we stratified by open access status. Conclusions Longer observation time did not increase the relative differences in the numbers of downloads and citations between papers in the social media intervention group and papers in the control group. Traditional impact metrics based on citations, such as impact factor, may not capture the added value of social media for scientific publications.


in education ◽  
2009 ◽  
Vol 15 (2) ◽  
Author(s):  
Alec Couros

An introduction to our Autumn 2009 issue of in education, a peer-reviewed, open access journal. This is also Part I of a two-part series focusing on Social Media & Technology.


2021 ◽  
Author(s):  
Debbie Martindale

<p>This presentation introduces academics and researchers to the value of formal and informal technologies in promoting the visibility and discoverability of their online researcher identity. Topics covered in the presentation include Open Access, Creative Commons licensing, Institutional Repositories, Research Data Management, ORCID, Research Collaboration & Social Scholarship, Researcher impact &citation analysis, Social Media, and Altmetrics.</p>


2015 ◽  
Vol 103 (3) ◽  
pp. 1149-1149 ◽  
Author(s):  
Xianwen Wang ◽  
Chen Liu ◽  
Wenli Mao ◽  
Zhichao Fang

Author(s):  
Albert N. Greco

Since at least the 1980s, there have been significant changes in the marketing of scholarly journals utilized by the majority of scholarly publishers. This shift meant that traditional advertising (which was very effective for many decades) and direct mail pieces (which were rather ineffective because of 1.5% to 2.0% response rates) were de-emphasized but not eliminated completely. They were supplanted somewhat by the growing use of social media and emails. This chapter provides an overview of print and digital journal distribution strategies, procedures, and platforms. Attention is paid to the US and global journal markets and subscriptions, including data on library expenditures. A sample journal’s contract with an author is presented and analyzed. There is a discussion of Sci-Hub, open access, article processing charges, the development of Plan S and Plan U, and research funding policies.


Author(s):  
Anna Sell ◽  
Mark de Reuver ◽  
Pirkko Walden ◽  
Christer Carlsson

The added value of mobile services is decided by the context in which they are used. In this paper, the authors study how the context-of-use influences the intention to adopt mobile messaging, entertainment and social media services. While doing so, the authors compare the intended use between males and females. The results are based on a large scale survey study among Finnish consumers. According to the findings, the context-of-use matters for mobile entertainment and messaging services, but not for social media services. Fit with social context is only important for social media services, whilst work-related context matters only for messaging services. In general, context-of-use is more decisive for men than women. However, while ubiquitous context-of-use is much more important for males, social and work context are relevant only for females. The results have important implications for service providers on how to develop and implement specific context-aware mobile services.


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