Between a Rock and a Cell Phone

2013 ◽  
Vol 5 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Andrea Kavanaugh ◽  
Steven D. Sheetz ◽  
Riham Hassan ◽  
Seungwon Yang ◽  
Hicham G. Elmongui ◽  
...  
Keyword(s):  
Social Media ◽  
Diffusion Theory ◽  
Social Media Data ◽  
Early Adopters ◽  
Innovation Diffusion Theory ◽  
The Social ◽  
A Cell ◽  
Use Of Social Media ◽  
Political Demonstrations ◽  
Media Data

Many observers heralded the use of social media during recent political uprisings in the Middle East, even dubbing Iran’s post-election protests a “Twitter Revolution”. The authors seek to put into perspective the use of social media in Egypt during the mass political demonstrations in 2011. We draw on innovation diffusion theory to argue that these media could have had an impact beyond their low adoption rates due to other factors related to the essential role played by social networks in diffusion and the demographics of Internet and social media adoption in Egypt, Tunisia and (to a lesser extent) Iran. To illustrate the argument the authors draw on technology adoption, information use, discussion networks and demographics. They supplement the social media data analysis with survey data collected in June 2011 from an opportunity sample of Egyptian youth. The authors conclude that in addition to the contextual factors noted above, the individuals within Egypt who used Twitter during the uprising have the characteristics of opinion leaders, that is, a group of early adopters with influence throughout their social circles and beyond. These findings contribute to knowledge regarding the use and impact of social media during violent political demonstrations and their aftermath.

scholarly journals The use of biblical themes in the debate concerning the xenophobic attacks in South Africa

2015 ◽  
Vol 36 (1) ◽  
Author(s):  
Zorodzai Dube
Keyword(s):  
South Africa ◽  
Social Media ◽  
Ethical Issues ◽  
Public Image ◽  
Human Beings ◽  
Social Media Data ◽  
The Social ◽  
Use Of Social Media ◽  
Media Data ◽  
Economic Outlook

The study draws from the ideas of J�rgen Habermas, Daniel Trotter and Christian Fuchs, Zizi Papacharissis, Yochai Benkler and Christian Fuchs to investigate the use of social media as a platform to express ideas against xenophobic-related attacks in South Africa (April 2015�May 2015). The data was collected from twitter, YouTube and Facebook. Most views came from the Facebook platform called �Stop xenophobia�. Using ATLAS.ti, software for qualitative research, the data was coded into interpretive variables or categories. The results show that themes such as hospitality, morality, creation and ethics received highest frequency as reasons to condemn xenophobia. The research further reveals that the social media data is much candid in comparison to state controlled media, where views and ideas were censored to protect the economic and public image of the country. Unlike the controlled government outlets which focus on the possible correlation between xenophobic attacks to economic outlook, the social media focuses on moral and ethical issues � issues that define our collective as human beings and tackles xenophobia from the perspective of ethics and shared human values.Intradisciplinary and/or interdisciplinary implications: This study is interdisciplinary in nature due to the use of theories in media studies and social sciences to investigate the use of biblical themes in the fight against xenophobia.

scholarly journals “Taking the Temperature of the Room”

2020 ◽  
Vol 84 (S1) ◽  
pp. 236-256
Author(s):  
Shannon C McGregor
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Opinion Formation ◽  
Social Media Data ◽  
The Public ◽  
Media System ◽  
The Social ◽  
New Development ◽  
Use Of Social Media ◽  
Media Data

Abstract For most of the twentieth century, public opinion was nearly analogous with polling. Enter social media, which has upended the social, technical, and communication contingencies upon which public opinion is constructed. This study documents how political professionals turn to social media to understand the public, charting important implications for the practice of campaigning as well as the study of public opinion itself. An analysis of in-depth interviews with 13 professionals from 2016 US presidential campaigns details how they use social media to understand and represent public opinion. I map these uses of social media onto a theoretical model, accounting for quantitative and qualitative measurement, for instrumental and symbolic purposes. Campaigns’ use of social media data to infer and symbolize public opinion is a new development in the relationship between campaigns and supporters. These new tools and symbols of public opinion are shaped by campaigns and drive press coverage (McGregor 2019), highlighting the hybrid logic of the political media system (Chadwick 2017). The model I present brings much-needed attention to qualitative data, a novel aspect of social media in understanding public opinion. The use of social media data to understand the public, for all its problems of representativeness, may provide a retort to long-standing criticisms of surveys—specifically that surveys do not reveal hierarchical, social, or public aspects of opinion formation (Blumer 1948; Herbst 1998; Cramer 2016). This model highlights a need to explicate what can—and cannot—be understood about public opinion via social media.

scholarly journals Using social media data to map the areas most affected by ISIS in Syria

2020 ◽  
Vol 26 (1) ◽  
pp. 464-470
Author(s):  
Mohamad Hasan
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Geographical Information ◽  
Data Mapping ◽  
Islamic State ◽  
Social Media Data ◽  
The Social ◽  
Mapping Process ◽  
Data Source ◽  
Media Data

This paper presents a model to collect, save, geocode, and analyze social media data. The model is used to collect and process the social media data concerned with the ISIS terrorist group (the Islamic State in Iraq and Syria), and to map the areas in Syria most affected by ISIS accordingly to the social media data. Mapping process is assumed automated compilation of a density map for the geocoded tweets. Data mined from social media (e.g., Twitter and Facebook) is recognized as dynamic and easily accessible resources that can be used as a data source in spatial analysis and geographical information system. Social media data can be represented as a topic data and geocoding data basing on the text of the mined from social media and processed using Natural Language Processing (NLP) methods. NLP is a subdomain of artificial intelligence concerned with the programming computers to analyze natural human language and texts. NLP allows identifying words used as an initial data by developed geocoding algorithm. In this study, identifying the needed words using NLP was done using two corpora. First corpus contained the names of populated places in Syria. The second corpus was composed in result of statistical analysis of the number of tweets and picking the words that have a location meaning (i.e., schools, temples, etc.). After identifying the words, the algorithm used Google Maps geocoding API in order to obtain the coordinates for posts.

The Social Media Macroscope: A science gateway for research using social media data

2020 ◽  
Vol 111 ◽  
pp. 819-828 ◽  
Author(s):  
Joseph T. Yun ◽  
Nickolas Vance ◽  
Chen Wang ◽  
Luigi Marini ◽  
Joseph Troy ◽  
...  
Keyword(s):  
Social Media ◽  
Social Media Data ◽  
Science Gateway ◽  
The Social ◽  
Media Data

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.

scholarly journals Review of Data Visualization for Social Media Postings

2018 ◽  
Vol 7 (4.38) ◽  
pp. 939
Author(s):  
Nur Atiqah Sia Abdullah ◽  
Hamizah Binti Anuar
Keyword(s):  
Social Media ◽  
Data Visualization ◽  
Line Graph ◽  
Data Types ◽  
Social Media Data ◽  
Data Analyst ◽  
The Social ◽  
Social Media Platforms ◽  
Types Of Information ◽  
Media Data

Facebook and Twitter are the most popular social media platforms among netizen. People are now more aggressive to express their opinions, perceptions, and emotions through social media platforms. These massive data provide great value for the data analyst to understand patterns and emotions related to a certain issue. Mining the data needs techniques and time, therefore data visualization becomes trending in representing these types of information. This paper aims to review data visualization studies that involved data from social media postings. Past literature used node-link diagram, node-link tree, directed graph, line graph, heatmap, and stream graph to represent the data collected from the social media platforms. An analysis by comparing the social media data types, representation, and data visualization techniques is carried out based on the previous studies. This paper critically discussed the comparison and provides a suggestion for the suitability of data visualization based on the type of social media data in hand.      

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 Corrigendum

2018 ◽  
Vol 45 (1) ◽  
pp. 136-136
Keyword(s):  
Public Health ◽  
Social Media ◽  
Information Science ◽  
Patient Data ◽  
Online Version ◽  
Social Media Data ◽  
Medical Network ◽  
The Social ◽  
Media Data ◽  
Prior Permission

Ji X, Chun SA, Cappellari P, et al. Linking and using social media data for enhancing public health analytics. Journal of Information Science 2016; 43: 221–245. DOI: 10.1177/0165551515625029 The authors regret that non-anonymised patient data was used from a social medical network without prior permission. With permission from the social medical network, the authors have anonymised the data and corrected the article. The online version of the article has been corrected.

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