scholarly journals The Use of Social Media in Research on Gambling: a Systematic Review

2021 ◽  
Author(s):  
Richard J. E. James ◽  
Alex Bradley
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Preliminary Evidence ◽  
Primary Data ◽  
Social Media Data ◽  
Gambling Operators ◽  
Use Of Social Media ◽  
The Impact ◽  
Media Data ◽  
Betting Odds

Abstract Purpose of Review Social media enables a range of possibilities in the way gamblers and gambling operators interact and content communicate with gambling. The purpose of this systematic review was to synthesise the extant literature to identify the ways in which social media has been investigated in the context of gambling. Recent Findings A systematic review of the literature identified 41 papers that collected primary data pertinent to gambling and social media from multiple disciplines. These papers broadly fell into three themes: communication, community and calculation (of sentiment). Papers on communication focused on the content of gambling advertising on social media and the impact on people exposed to it. Studies of gambling communities studied the activity and structures of discussion groups on social media concerning recreational or problematic gambling. Papers on calculation collated social media data to assess sentiment and compared it against betting odds. Summary There is an emerging multidisciplinary literature that has looked at the use of social media in relation to gambling. There is preliminary evidence that the content and the reach of gambling advertising on social media is a source of concern, particularly for younger people. The themes discussed on gambling support forums appear to be common across communities, focusing on negative emotions, recovery, addictive products and financial support. Using social media to assess sentiment appears to be particularly effective at identifying potential upsets in sporting matches. Future suggestions for research are explored.

scholarly journals Dashboarding The Online Strategic Communications of Anti-slavery Organizations During COVID-19

2020 ◽  
Author(s):  
Benjamin Lucas ◽  
Liana Bravo-Balsa ◽  
Vicky Brotherton ◽  
Nicola Wright ◽  
Todd Landman
Keyword(s):  
Social Media ◽  
Preliminary Evidence ◽  
Future Research ◽  
Strategic Communications ◽  
Social Media Data ◽  
Working Paper ◽  
Modern Slavery ◽  
Use Of Social Media ◽  
High Level ◽  
Media Data

In this working paper, we investigate high-level changes in the online strategic communications of organizations engaged with SDG 8.7 (ending modern slavery) during the COVID-19 crisis. We present preliminary evidence of important semantic and thematic shifts based on data from Twitter during this time, with an emphasis on developing the SOLACE (Social Listening and Communications Engagement) dashboard, and with recommendations for important future research involving the use of social media data as a basis for distilling organizational-agenda proxies based on digital campaigns and activism during times of crisis.

A Sentiment Analysis and Role of Twitter for Health Communications

2022 ◽  
pp. 188-205
Author(s):  
Erkan Çiçek ◽  
Uğur Gündüz
Keyword(s):  
Social Media ◽  
Crisis Management ◽  
Semantic Analysis ◽  
Social Media Data ◽  
Global Pandemic ◽  
The Difference ◽  
Textual Content ◽  
The Impact ◽  
Media Data

Social media has been in our lives so much lately that it is an undeniable fact that global pandemics, which constitute an important part of our lives, are also affected by these networks and that they exist in these networks and share the users. The purpose of making this hashtag analysis is to reveal the difference in discourse and language while analyzing Twitter data and to evaluate the effects of a global pandemic crisis on language, message, and crisis management with social media data. This form of analysis is typically completed through amassing textual content data then investigating the “sentiment” conveyed. Within the scope of the study, 11,300 Twitter messages posted with the #stayhome hashtag between 30 May 2020 and 6 June 2020 were examined. The impact and reliability of social media in disaster management could be questioned by carrying out a content analysis based totally on the semantic analysis of the messages given on the Twitter posts with the phrases and frequencies used.

A Systematic Review of the Use of Social Media as a Recruitment Tool on the Social Ethical and Privacy Context

2020 ◽  
pp. 226-255
Author(s):  
Ghadah Althawwad
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Ethical Issues ◽  
Daily Lives ◽  
Ethical Concerns ◽  
The Social ◽  
Use Of Social Media ◽  
Impact Of Technology ◽  
Recruitment Tool ◽  
The Impact

The influence of social media such as Facebook, LinkedIn, and Twitter plays an increasingly influential role in the daily lives of people. Despite the rise of interest in this topic, the research discussing the ethical concerns of using social media for recruitment purposes remains in exploratory stages. This chapter provides a systematic review of recent research that was published from 2012 to 2018 and focused on ethical issues related to the use of social media for recruitment purposes. The techno-ethical lens, which studies the impact of technology on ethics, was used to explore the social and ethical aspects of how recruiters use social media for recruitment purposes.

scholarly journals Anatomy of a Protest: Spatial Information, Social Media, and Urban Space

2020 ◽  
Vol 6 (1) ◽  
pp. 205630511989732
Author(s):  
Alireza Karduni ◽  
Eric Sauda
Keyword(s):  
Social Media ◽  
Public Space ◽  
Urban Space ◽  
Language Processing ◽  
Local Community ◽  
Spatial Information ◽  
Social Media Data ◽  
Public Events ◽  
Use Of Social Media ◽  
Media Data

Black Lives Matter, like many modern movements in the age of information, makes significant use of social media as well as public space to demand justice. In this article, we study the protests in response to the shooting of Keith Lamont Scott by police in Charlotte, North Carolina, on September 2016. Our goal is to measure the significance of urban space within the virtual and physical network of protesters. Using a mixed-methods approach, we identify and study urban space and social media generated by these protests. We conducted interviews with protesters who were among the first to join the Keith Lamont Scott shooting demonstrations. From the interviews, we identify places that were significant in our interviewees’ narratives. Using a combination of natural language processing and social network analysis, we analyze social media data related to the Charlotte protests retrieved from Twitter. We found that social media, local community, and public space work together to organize and motivate protests and that public events such as protests cause a discernible increase in social media activity. Finally, we find that there are two distinct communities who engage social media in different ways; one group involved with social media, local community and urban space, and a second group connected almost exclusively through social media.

Social Media to Social Media Analytics

2019 ◽  
Vol 10 (2) ◽  
pp. 57-70 ◽  
Author(s):  
Vikas Kumar ◽  
Pooja Nanda
Keyword(s):  
Social Media ◽  
Social Media Analytics ◽  
Social Media Data ◽  
Ethical Concerns ◽  
Ethical Implications ◽  
The Social ◽  
Social Media Platforms ◽  
The Individual ◽  
The Impact ◽  
Media Data

With the amplification of social media platforms, the importance of social media analytics has exponentially increased for many brands and organizations across the world. Tracking and analyzing the social media data has been contributing as a success parameter for such organizations, however, the data is being poorly harnessed. Therefore, the ethical implications of social media analytics need to be identified and explored for both the organizations and targeted users of social media data. The present work is an exploratory study to identify the various techno-ethical concerns of social media engagement, as well as social media analytics. The impact of these concerns on the individuals, organizations, and society as a whole are discussed. Ethical engagement for the most common social media platforms has been outlined with a number of specific examples to understand the prominent techno-ethical concerns. Both the individual and organizational perspectives have been taken into account to identify the implications of social media analytics.

scholarly journals Inferring Activities from Social Media Data

2017 ◽  
Vol 2666 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Emmanouil Chaniotakis ◽  
Constantinos Antoniou ◽  
Georgia Aifadopoulou ◽  
Loukas Dimitriou
Keyword(s):  
Social Media ◽  
Classification Performance ◽  
Classification Algorithms ◽  
Social Media Data ◽  
Use Of Social Media ◽  
Definition Of ◽  
The Individual ◽  
Transportation Research ◽  
Direct Use ◽  
Media Data

Social media produce an unprecedented amount of information that can be extracted and used in transportation research, with one of the most promising areas being the inference of individuals’ activities. Whereas most studies in the literature focus on the direct use of social media data, this study presents an efficient framework that follows a user-centric approach for the inference of users’ activities from social media data. The framework was applied to data from Twitter, combined with inferred data from Foursquare that contains information about the type of location visited. The users’ data were then classified with a density-based spatial classification algorithm that allows for the definition of commonly visited locations, and the individual-based data were augmented with the known activity definition from Foursquare. On the basis of the known activities and the Twitter text, a set of classification algorithms was applied for the inference of activities. The results are discussed according to the types of activities recognized and the classification performance. The classification results allow for a wide application of the framework in the exploration of the activity space of individuals.

scholarly journals Journalists’ Use of Social Media to Infer Public Opinion: The citizens’ perspective

2021 ◽  
Author(s):  
Elizabeth Dubois ◽  
Anatoliy Gruzd ◽  
Jenna Jacobson
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Online Survey ◽  
Social Media Analytics ◽  
Social Media Data ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
Traditional Approaches ◽  
Journalistic Practice ◽  
Media Data

Journalists increasingly use social media data to infer and report public opinion by quoting social media posts, identifying trending topics, and reporting general sentiment. In contrast to traditional approaches of inferring public opinion, citizens are often unaware of how their publicly available social media data is being used and how public opinion is constructed using social media analytics. In this exploratory study based on a census-weighted online survey of Canadian adults (N=1,500), we examine citizens’ perceptions of journalistic use of social media data. We demonstrate that: (1) people find it more appropriate for journalists to use aggregate social media data rather than personally identifiable data; (2) people who use more social media are more likely to positively perceive journalistic use of social media data to infer public opinion; and (3) the frequency of political posting is positively related to acceptance of this emerging journalistic practice, which suggests some citizens want to be heard publicly on social media while others do not. We provide recommendations for journalists on the ethical use of social media data and social media platforms on opt-in functionality.

The impact of social media on human interaction in an organisation based on real-time social media data

2019 ◽  
Vol 4 (3) ◽  
pp. 260
Author(s):  
Sharifah Sakinah Syed Ahmad ◽  
Anis Naseerah Binti Shaik Osman ◽  
Halizah Basiron
Keyword(s):  
Social Media ◽  
Real Time ◽  
Human Interaction ◽  
Social Media Data ◽  
The Impact ◽  
Media Data
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