scholarly journals Bumper Stickers on the Twitter Highway: Analyzing the Speed and Substance of Profile Changes

2018 ◽  
Author(s):  
Ryan Wesslen ◽  
Sagar Nandu ◽  
Omar Eltayeby ◽  
Tiffany Gallicano ◽  
Sara Levens ◽  
...  
Keyword(s):  
Social Media ◽  
Longitudinal Study ◽  
Topic Modeling ◽  
Signaling Theory ◽  
Baseline Data ◽  
Social Contagion ◽  
Self Construal ◽  
Profile Changes ◽  
Profile Change

We describe a novel longitudinal study of the frequency and significance of social media users' profile changes. Drawing upon two formative theories from communication and psychology: self-construal and signaling theory, we examine the likelihood that users will change their profiles and what constitutes a significant profile change. Our findings indicate that users are more likely to change their Profile Summaries and Display Names than their Locations and Screen Names (i.e. handles). Further, we used topic modeling to partition users based on their profiles to identify themes and explored how profile changes differ among these thematic groups (e.g., Trump supporters). Last, we identified the most significant word changes by users in their profiles. Our findings provide valuable baseline data for further study of Twitter profiles, including the spread of social contagion through these profiles.

scholarly journals Exploring halal tourism tweets on social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ali Feizollah ◽  
Mohamed M. Mostafa ◽  
Ainin Sulaiman ◽  
Zalina Zakaria ◽  
Ahmad Firdaus
Keyword(s):  
Social Media ◽  
Network Analysis ◽  
Topic Modeling ◽  
Semantic Network ◽  
Word List ◽  
Global Market ◽  
Semantic Network Analysis ◽  
Tourist Destinations ◽  
Muslim Countries ◽  
Emotion Lexicon

AbstractThis study explores tweets from Oct 2008 to Oct 2018 related to halal tourism. The tweets were extracted from twitter and underwent various cleaning processes. A total of 33,880 tweets were used for analysis. Analysis intended to (1) identify the topics users tweet about regarding halal tourism, and (2) analyze the emotion-based sentiment of the tweets. To identify and analyze the topics, the study used a word list, concordance graphs, semantic network analysis, and topic-modeling approaches. The NRC emotion lexicon was used to examine the sentiment of the tweets. The analysis illustrated that the word “halal” occurred in the highest number of tweets and was primarily associated with the words “food” and “hotel”. It was also observed that non-Muslim countries such as Japan and Thailand appear to be popular as halal tourist destinations. Sentiment analysis found that there were more positive than negative sentiments among the tweets. The findings have shown that halal tourism is a global market and not only restricted to Muslim countries. Thus, industry players should take the opportunity to use social media to their advantage to promote their halal tourism packages as it is an effective method of communication in this decade.

We are “the Resistance”: Predictors and consequences of self-categorization into the emerging movement to oppose Trump

2020 ◽  
pp. 136843022097475
Author(s):  
Samuel Hansen Freel ◽  
Rezarta Bilali ◽  
Erin Brooke Godfrey
Keyword(s):  
Social Media ◽  
Social Movements ◽  
Longitudinal Study ◽  
Collective Action ◽  
Social Movement ◽  
Efficacy Beliefs ◽  
Future Research ◽  
Identity Consolidation

In a three-wave longitudinal study conducted in the first 100 days of Trump’s presidency, this paper examines how people come to self-categorize into the emerging social movement “the Resistance,” and how self-categorization into this movement influences future participation in collective action and perceptions of the movement’s efficacy. Conventional collective action (e.g., protest, lobby legislators)—but not persuasive collective action (e.g., posting on social media)—and perceived identity consolidation efficacy of the movement at Wave 1 predicted a higher likelihood of self-categorization into the movement 1 month later (Wave 2) and 2 months later (Wave 3). Self-categorization into the Resistance predicted two types of higher subsequent movement efficacy perceptions, and helped sustain the effects of conventional collective action and movement efficacy beliefs at Wave 1 on efficacy beliefs at Wave 3. Implications for theory and future research on emerging social movements are discussed.

scholarly journals A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter

2021 ◽  
Author(s):  
Irina Wedel ◽  
Michael Palk ◽  
Stefan Voß
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Topic Modeling ◽  
New Product ◽  
Business Value ◽  
Data Driven ◽  
New Product Introduction ◽  
Social Media Analytics ◽  
Product Introduction ◽  
Textual Data

AbstractSocial media enable companies to assess consumers’ opinions, complaints and needs. The systematic and data-driven analysis of social media to generate business value is summarized under the term Social Media Analytics which includes statistical, network-based and language-based approaches. We focus on textual data and investigate which conversation topics arise during the time of a new product introduction on Twitter and how the overall sentiment is during and after the event. The analysis via Natural Language Processing tools is conducted in two languages and four different countries, such that cultural differences in the tonality and customer needs can be identified for the product. Different methods of sentiment analysis and topic modeling are compared to identify the usability in social media and in the respective languages English and German. Furthermore, we illustrate the importance of preprocessing steps when applying these methods and identify relevant product insights.

scholarly journals Examining the Antecedents of User Donation Intentions Toward Social Media Articles: Moderation Effects of Social Contagion

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110063
Author(s):  
Isaac Owusu Asante ◽  
Jiaming Fang ◽  
Dennis Fiifi Darko ◽  
Hossin M. D. Altab
Keyword(s):  
Social Media ◽  
Nonprofit Organization ◽  
Perceived Value ◽  
Perceived Usefulness ◽  
Social Contagion ◽  
Moderation Effects ◽  
The Social ◽  
Academic Researchers ◽  
Perceived Enjoyment ◽  
Donation Intention

Donations to articles on social media, as a new behavior, have been trending in recent years. Unlike donations to a charitable and nonprofit organization or victims, donations to social media articles have been accorded minimal attention from academic researchers. From the stimuli–organism–response framework, this study proposed a model to investigate the factors that influence the donation intentions of users on social media toward articles. Our results demonstrate that the credibility of the article determines users’ donation intentions. The results also indicate that the perceived value (usefulness and enjoyment) of the article mediates the effects of article credibility on users’ donation intentions. The social contagion nature of the article is also proven to moderate the magnitude of impacts on donation intention by users’ perceived usefulness, perceived enjoyment, and perception of article credibility.

Social Media Communication about HPV Vaccine in China: A Study Using Topic Modeling and Survey

2021 ◽  
pp. 1-12
Author(s):  
Shaohai Jiang ◽  
Pianpian Wang ◽  
Piper Liping Liu ◽  
Annabel Ngien ◽  
Xingtong Wu
Keyword(s):  
Social Media ◽  
Hpv Vaccine ◽  
Topic Modeling ◽  
Media Communication ◽  
Social Media Communication

scholarly journals Refugee or Migrant Crisis? Labels, Perceived Agency, and Sentiment Polarity in Online Discussions

2018 ◽  
Vol 4 (3) ◽  
pp. 205630511878563 ◽  
Author(s):  
Ju-Sung Lee ◽  
Adina Nerghes
Keyword(s):  
Social Media ◽  
Topic Modeling ◽  
Economic Cost ◽  
Online Discussions ◽  
Refugee Crisis ◽  
Dimensional Model ◽  
Public Sentiment ◽  
Displaced People ◽  
The Media ◽  
European Refugee Crisis

In recent years, increasing attention has been dedicated to the hazardous and volatile situation in the Middle East, a crisis which has pushed many to flee their countries and seek refuge in neighboring countries or in Europe. In describing or discussing these tragic events, labels such as “European migrant crisis” and “European refugee crisis” started being widely used by the media, politicians, and the online world alike. The use of such labels has the potential to dictate the ways in which displaced people are received and perceived. With this study, we investigate label use in social media (specifically YouTube), the emergent patterns of labeling that can cause further disaffection and tension or elicit sympathy, and the sentiments associated with the different labels. Our findings suggest that migration issues are being framed not only through labels characterizing the crisis but also by their describing the individuals themselves. Using topic modeling and sentiment analysis jointly, our study offers valuable insights into the direction of public sentiment and the nature of discussions surrounding this significant societal crisis, as well as the nature of online opinion sharing. We conclude by proposing a four-dimensional model of label interpretation in relation to sentiment—that accounts for perceived agency, economic cost, permanence, and threat, and identifies threat and agency to be most impactful. This perspective reveals important influential aspects of labels and frames that may shape online public opinion and alter attitudes toward those directly affected by the crisis.

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