scholarly journals Using Social Media Data as Research Data

Author(s):  
Suman Silwal ◽  
Dale W Callahan

Social Media (SM) is becoming a normal part of everyday life. The information generated from Social Media (SM) data is becoming increasingly utilized as a communication channel for market trend, brand awareness, breaking news, and online social interaction between person to person. SM is also rapidly growing and maturing [1]. Further, SM is becoming a reliable tool for interdisciplinary industries like banks, travel, healthcare, biotech, software, sports etc.SM data can also be used as a research tool to apply in different areas of Humanities, Art, Science and Engineering. There are unlimited possibilities using Social Networking Site (SNS) to collect, process and evaluate data. This paper reviews the current state of Social Networking Sites and Text-based Language Processes, and how it can be used to generate valuable information.

Author(s):  
Marko Klašnja ◽  
Pablo Barberá ◽  
Nick Beauchamp ◽  
Jonathan Nagler ◽  
Joshua A. Tucker

This chapter examines the use of social networking sites such as Twitter in measuring public opinion. It first considers the opportunities and challenges that are involved in conducting public opinion surveys using social media data. Three challenges are discussed: identifying political opinion, representativeness of social media users, and aggregating from individual responses to public opinion. The chapter outlines some of the strategies for overcoming these challenges and proceeds by highlighting some of the novel uses for social media that have fewer direct analogs in traditional survey work. Finally, it suggests new directions for a research agenda in using social media for public opinion work.


2012 ◽  
Vol 7 (1) ◽  
pp. 174-197 ◽  
Author(s):  
Heather Small ◽  
Kristine Kasianovitz ◽  
Ronald Blanford ◽  
Ina Celaya

Social networking sites and other social media have enabled new forms of collaborative communication and participation for users, and created additional value as rich data sets for research. Research based on accessing, mining, and analyzing social media data has risen steadily over the last several years and is increasingly multidisciplinary; researchers from the social sciences, humanities, computer science and other domains have used social media data as the basis of their studies. The broad use of this form of data has implications for how curators address preservation, access and reuse for an audience with divergent disciplinary norms related to privacy, ownership, authenticity and reliability.In this paper, we explore how the characteristics of the Twitter platform, coupled with an ambiguous and evolving understanding of privacy in networked communication, and divergent disciplinary understandings of the resulting data, combine to create complex issues for curators trying to ensure broad-based and ethical reuse of Twitter data. We provide a case study of a specific data set to illustrate how data curators can engage with the topics and questions raised in the paper. While some initial suggestions are offered to librarians and other information professionals who are beginning to receive social media data from researchers, our larger goal is to stimulate discussion and prompt additional research on the curation and preservation of social media data.


2021 ◽  
Author(s):  
Muhammad Luqman Jamil ◽  
Sebastião Pais ◽  
João Cordeiro ◽  
Gaël Dias

Abstract Online social networking platforms allow people to freely express their ideas, opinions, and emotions negatively or positively. Previous studies have examined user’s sentiments on these platforms to study their behaviour in different contexts and purposes. The mechanism of collecting public opinion information has attracted researchers to automatically classify the polarity of public opinions based on the use of concise language in messages, such as tweets, by analyzing social media data. In this paper, we extend the preceding work [1], by proposing an unsupervised approach to automatically detect extreme opinions/posts in social networks. We have evaluated our performance on five different social network and media datasets. In this work, we use the semi-supervised approach BERT to check the accuracy of our classified dataset. The latter task shows that, in these datasets, posts that were previously classified as negative or positive are, in fact, extremely negative or positive in many cases.


2013 ◽  
Vol 5 (1) ◽  
pp. 16-27
Author(s):  
Soo Young Bae

This study explores the potential of online social media to serve as a sphere for political discourse and investigates the extent to which everyday uses of online social networking sites can expose citizens to politically diverse viewpoints.  In addition, this study asks whether such crosscutting exposure in online social networks will act as a trigger or a muffler for political expression – that is, whether exposure political difference will stimulate or discourage political discussions.  With analyses of a sample of online social networking site users in the context of the 2012 presidential election in South Korea, this study explicates the link between crosscutting exposure and citizens’ political expressions in social media.  Results reveal that contrary to the predictions in previous literature, exposure to politically incongruent viewpoints in online social networking sites does not seem to undermine users’ expressive behaviors but instead positively contribute to political expression.  In addition, this study shows the significant role of citizens’ perceptions of candidate support in their own networks, and illustrates that the dynamics of political expression differ significantly depending on the users’ age.


2019 ◽  
Vol 13 (4) ◽  
pp. 477-491 ◽  
Author(s):  
Kaustav Mukherjee ◽  
Neelotpaul Banerjee

Purpose The study aims to demonstrate the impact of social media users’ positive attitude towards the social networking sites (SNS) on the generation of a positive attitude towards social networking advertisements (SNA). A favourable attitude towards the SNA thus generated can positively influence brand attitude and purchase intention. Design/methodology/approach An online survey was conducted to collect relevant data using a structured questionnaire. Structural equation modelling was conducted using the statistical software AMOS 18. Findings Empirical analysis revealed the importance of brand advertisements on the social networks in inciting a positive attitude as well as a purchase intention for the brand in the SNS users’ minds. Research limitations/implications The study has been conducted in the Indian context using Facebook as a model social networking site. Practical implications Social media being one of the most popular and user-friendly platforms for regular communications, marketers are suggested to allocate a sizeable share of the advertising budget for social media advertisements and customer engagement so as to help build a positive attitude towards the advertised brand in the SNS users’ minds. Originality/value To the best of the authors’ knowledge, the impact of users’ positive evaluation of SNS as an effective communication medium, on the generation of a positive attitude towards the SNA, has been dealt for the first time here.


2014 ◽  
pp. 992-1012
Author(s):  
Teresa Correa ◽  
Ingrid Bachmann ◽  
Amber W. Hinsley ◽  
Homero Gil de Zúñiga

Research on digital media has mostly paid attention to users' demographics, motivations, and efficacy, but with increasingly popular web tools like social media, it is important to study more stable psychological characteristics such as users' personality traits, as they may significantly affect how people use the Web to communicate and socialize. Relying on the “Big Five Framework” as a theoretical approach, this chapter explores such relationships. Survey data from a national sample of U.S. adults show that more extraverted people are more likely to use social networking sites, instant messaging, and video chats, while those more open to new experiences tend to use social networking sites more frequently. Also, emotional stability is a negative predictor of social networking site use. That is, individuals who are more anxious and unstable tend to rely on these sites. When looking at a specific use of social media–to create political content—emotional stability was a negative predictor, whereas extraversion had a positive impact. These findings confirm the usefulness of combining explorations of personality and digital media usage.


Author(s):  
Olessia Koltsova ◽  
Alexander Porshnev ◽  
Yadviga Sinyavskaya

AbstractRapidly proliferating social media not only serve as a new channel of human communication but also open up research opportunities to ask a wider set of questions about political, sociological and psychological factors that influence interpersonal and group online communication, development and maintenance of personal networks and the growth or decline of social capital. In this chapter we discuss the research opportunities provided by new survey, observational and experimental data that may be obtained from a social networking site. For doing so, we refer to Russian-language social networking sites (SNS) or SNS segments, notably VKontakte as the most popular SNS in Russia. We demonstrate how the aforementioned types of data may or have already been used to address research tasks from a number of disciplines.


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