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Articles 241 - 250 of 250
Full-Text Articles in Social Media
Twitter Content Analysis Of The Australian Bushfires Disaster 2019-2020: Futures Implications, Gregory Willson, Violetta Wilk, Ruth Sibson, Ashlee Morgan
Twitter Content Analysis Of The Australian Bushfires Disaster 2019-2020: Futures Implications, Gregory Willson, Violetta Wilk, Ruth Sibson, Ashlee Morgan
Research outputs 2014 to 2021
Purpose: This paper aims to explore the themes and nature of sentiment of Twitter content that discussed the Australian bushfire disaster 2019–2020 and its associated wildlife devastation, with considerations for the future of Australia’s tourism industry. Design/methodology/approach: A large, qualitative data set consisting of all publicly available Twitter posts during the period of the Australian bushfires from December 2019 to March 2020 that mentioned the bushfires and wildlife are explored. Findings: The devastation of wildlife through the Australian bushfire disaster elicited emotionally charged Twitter content from both Australian and overseas users. Positive sentiment focused on offering support to areas impacted …
Love The Customers: Principles Of Interpersonal Relationships Applied To Social Media, Tracey Kyles
Love The Customers: Principles Of Interpersonal Relationships Applied To Social Media, Tracey Kyles
UNF Graduate Theses and Dissertations
Social media has changed communication, and its influence is far-reaching. Companies have adapted and tweaked their marketing strategies to more personal approaches to reach their audiences. This is especially evident in recent years. It can be observed, for example, by fast-food Twitter accounts attracting the attention of online users through witty personas and sarcastic tweets. This phenomenon is the motivation of this research looking into relationships between brands and their social media followers. Here, interpersonal relationship theories are referenced to uncover what encourages these kinds of relationships as well as discover which methods deliver the most positive responses, likes, and …
Detecting Incentivized Review Groups With Co-Review Graph, Yubao Zhang, Shuai Hao, Haining Wang
Detecting Incentivized Review Groups With Co-Review Graph, Yubao Zhang, Shuai Hao, Haining Wang
Computer Science Faculty Publications
Online reviews play a crucial role in the ecosystem of nowadays business (especially e-commerce platforms), and have become the primary source of consumer opinions. To manipulate consumers’ opinions, some sellers of e-commerce platforms outsource opinion spamming with incentives (e.g., free products) in exchange for incentivized reviews. As incentives, by nature, are likely to drive more biased reviews or even fake reviews. Despite e-commerce platforms such as Amazon have taken initiatives to squash the incentivized review practice, sellers turn to various social networking platforms (e.g., Facebook) to outsource the incentivized reviews. The aggregation of sellers who …
Hidup Dalam Transit: Representasi Diri Digital Pengungsi Muda Oromo Di Instagram Terhadap Rekonstruksi "Refugeeness" Dalam Interaksi Antara Pengungsi Dan Audiens, Clarisa Irene
Antropologi Indonesia
The representation of refugees and asylum seekers should not be bounded to media’s depiction of it. This paper focuses on refugees’ self-representation on Instagram, one of the most used social media platforms in the world, which cannot be understood separately from their daily life as refugees. Drawing from the observation of young Oromo refugees, I find that Instagram—and other social media—are used as a form of online participation to fill their days in transit. Other than offering the Oromo youths access to entertainment and new insights, Instagram also provides a space in which they can build and maintain relationship and …
Spectatorial Sisterhood: Relasi Sosial Pengguna Second Account Di Instagram, Amelia Rugun Sirait
Spectatorial Sisterhood: Relasi Sosial Pengguna Second Account Di Instagram, Amelia Rugun Sirait
Antropologi Indonesia
Instagram is a popular image based social media platform. Usually, users have their own accounts for their personal profile to be viewed publicly. As Instagram features develop, users may have more than one account. Accounts that are specific to certain circle of friends are called “second accounts” and treated as private accounts used to express and relate through images. In this social media ethnography, seven subjects shared their experiences through uploaded images, videos and texts. They have the awareness to avoid relationships and gazes in their main account by building a different subjectivity in their second account. Contents on their …
The Uncanny Swipe Drive: The Return Of A Racist Mode Of Algorithmic Thought On Dating Apps, Gregory Narr
The Uncanny Swipe Drive: The Return Of A Racist Mode Of Algorithmic Thought On Dating Apps, Gregory Narr
Publications and Research
As algorithmic media amplify longstanding social oppression, they also seek to colonize every last bit of sociality where that oppression could be resisted. Swipe apps constitute prototypical examples of this dynamic. By employing protocols that foster absent-minded engagement, they allow unconscious racial preferences to be expressed without troubling users’ perceptions of themselves as non-racist. These preferences are then measured by recommender systems that treat “attractiveness” as a zero-sum game, allocate affective flows according to the winners and losers of those games, and ultimately amplify the salience of race as a factor of success for finding intimacy. In thus priming users …
Chronic Customers Or Increased Awareness? The Dynamics Of Social Media Customer Service, Shujing Sun, Yang Gao, Huaxia Rui
Chronic Customers Or Increased Awareness? The Dynamics Of Social Media Customer Service, Shujing Sun, Yang Gao, Huaxia Rui
Research Collection School Of Computing and Information Systems
Despite that social media has become a promising alternative to traditional call centers, managers hesitate to fully harness its power because they worry that active service intervention may encourage excessive use of the channel by disgruntled customers. This paper sheds light on such a concern by examining the dynamics between brand-level customer complaints and service interventions on social media. Using details of customer-brand interactions of 40 airlines on Twitter, we find that more service interventions indeed cause more customer complaints, accounting for the online customer population and service quality. However, the increased complaints are primarily driven by the awareness enhancement …
Theorizing #Girlboss Culture: Mediated Neoliberal Feminisms From Influencers To Multi-Level Marketing Schemes, Frankie Mastrangelo
Theorizing #Girlboss Culture: Mediated Neoliberal Feminisms From Influencers To Multi-Level Marketing Schemes, Frankie Mastrangelo
Theses and Dissertations
I define girlboss feminism as emergent, mediated formations of neoliberal feminism that equate feminist empowerment with financial success, market competition, individualized work-life balance, and curated digital and physical presences driven by self-monetization. I look toward how the mediation of girlboss feminism utilizes branded and affective engagements with representational politics, discourses of authenticity and rebellion, as well as meritocratic aspiration to promote cultural interest in conceptualizing feminism in ways that are divorced from collective, intersectional struggle. I question the stakes involved in reducing feminist interrogations and commitments to discourses of representation, visibility, and meritocracy. I argue that while girlboss feminism may …
Analyzing Tweets On New Norm: Work From Home During Covid-19 Outbreak, Swapna Gottipati, Kyong Jin Shim, Hui Hian Teo, Karthik Nityanand, Shreyansh Shivam
Analyzing Tweets On New Norm: Work From Home During Covid-19 Outbreak, Swapna Gottipati, Kyong Jin Shim, Hui Hian Teo, Karthik Nityanand, Shreyansh Shivam
Research Collection School Of Computing and Information Systems
The COVID-19 pandemic triggered a large-scale work-from-home trend globally in recent months. In this paper, we study the phenomenon of “work-from-home” (WFH) by performing social listening. We propose an analytics pipeline designed to crawl social media data and perform text mining analyzes on textual data from tweets scrapped based on hashtags related to WFH in COVID-19 situation. We apply text mining and NLP techniques to analyze the tweets for extracting the WFH themes and sentiments (positive and negative). Our Twitter theme analysis adds further value by summarizing the common key topics, allowing employers to gain more insights on areas of …
Ssentiaa: A Self-Supervised Sentiment Analyzer For Classification From Unlabeled Data, Salim Sazzed, Sampath Jayarathna
Ssentiaa: A Self-Supervised Sentiment Analyzer For Classification From Unlabeled Data, Salim Sazzed, Sampath Jayarathna
Computer Science Faculty Publications
In recent years, supervised machine learning (ML) methods have realized remarkable performance gains for sentiment classification utilizing labeled data. However, labeled data are usually expensive to obtain, thus, not always achievable. When annotated data are unavailable, the unsupervised tools are exercised, which still lag behind the performance of supervised ML methods by a large margin. Therefore, in this work, we focus on improving the performance of sentiment classification from unlabeled data. We present a self-supervised hybrid methodology SSentiA (Self-supervised Sentiment Analyzer) that couples an ML classifier with a lexicon-based method for sentiment classification from unlabeled data. We first introduce LRSentiA …