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Preprint ARTICLE | doi:10.20944/preprints202303.0513.v1

Ethical Issues and Challenges in Social Media: A Current Scenario

Dr. Bharat Dhiman

Subject: Social Sciences, Media Studies Keywords: Ethics, Social Media; Facebook; Instagram; Snapchat; Personal Information

Online: 29 March 2023 (15:39:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0648.v1

A Method Based on NLP for Twitter Spam Detection

Ratul Chowdhury, Kumar Gourav Das, Banani Saha, Samir Kumar Bandyopadhyay

Subject: Social Sciences, Media Studies Keywords: Twitter; Social Media; NLP; Tweet; User Categorizations and Mathematical Frame Work

Online: 26 July 2020 (17:23:33 CEST)

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Social networking applications such as Twitter have increasingly gained significance in terms of socio-economic, political, and religious as well as entertainment sectors. This in turn, has witnessed a wide gamut of information explosion in the social networking realm that can tend to be both useful as well as misleading at the same point of time. Spam detection is one such solution that caters to this problem through identification of irrelevant users and their data. However, existing research has so far laid primary focus on user profile information through activity detection and relevant techniques that may underperform when these profiles exhibit characteristics of temporal dependency, poor reflection of generated content from the user profile, etc. This is the primary motivation for this paper that addresses the aforementioned problem of user profiles by focusing on both profile information and content-based spam detection. To this end, this work delivers three significant contributions. Firstly, exhaustive use of Natural language processing (NLP) techniques has been rendered towards creation of a new comprehensive dataset with a wide range of content-based features. Secondly, this dataset has been fed into a customized state-of-art hybrid machine learning model that has been exclusively built using a combination of both machine learning and deep learning techniques. Extensive simulation based analysis not only records over 98% accuracy but also establishes the practical applicability of this proposal by proving that modeling based on the mixed profile and content-generated data is more capable of spam detection in contrast to each of these standalone approaches. Finally, a novel methodology based on logistic regression is proposed and supported by analytical formulations. This paves the way for the custom-built dataset to be analyzed and corresponding probabilities to be obtained that differentiate legitimate users from spammers. The obtained mathematical outcome can henceforth be used for future prediction of user categories through appropriate parameter tuning for any given dataset. This makes our method a truly generic one capable of identifying and classifying different user categories.

Preprint ARTICLE | doi:10.20944/preprints202103.0331.v1

Social Media Data Misuse

Tariq Soussan, Marcello Trovati

Subject: Social Sciences, Media Studies Keywords: Social media ethics; Social media; data misuse; data integrity

Online: 12 March 2021 (08:05:09 CET)

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Preprint REVIEW | doi:10.20944/preprints202305.1630.v1

Fake News in Marketing

José Morais da Silva, Albérico Travassos Rosário, Carlos Guillen Gestoso, Fernando Acabado Romana

Subject: Social Sciences, Media Studies Keywords: Fake News; Marketing; Bibliometric Literature Review; LRSB

Online: 23 May 2023 (08:51:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1525.v1

The Eﬀects of Idol Fans’ Interactions in Online Fan Community Platforms on Their Well-Being and Loyalty

Soyoung Wang, Min Sung Kim, Seongcheol Kim

Subject: Social Sciences, Media Studies Keywords: Fan community platform; Mental well-being; Sense of virtual community; Fan interaction; Parasocial relationship; Weverse

Online: 22 August 2023 (07:15:51 CEST)

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Working Paper ARTICLE

The Nonboundary of Style in Fashion Instagram: A Media Ecology Case Study on Sustainable Digital Space-Time

Sungeun Suh

Subject: Social Sciences, Media Studies Keywords: digital space-time; fashion Instagram; media ecology; nonboundary of style; social media

Online: 25 December 2019 (03:21:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints201803.0251.v1

Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective

Aseda Mensah, George Oppong Appiagyei Ampong, Adolph Sedem Yaw Adu, John Agyekum Addae, Osaretin Kayode Omoregie, Kwame Simpe Ofori

Subject: Social Sciences, Media Studies Keywords: self-disclosure; social networking sites; flow; privacy concerns; structural equation modeling; Ghana

Online: 29 March 2018 (14:35:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0173.v1

Fear of Missing Out and Problematic Social Media Use Among University Students in Turkey: Correlates and Further Analysis

Ali Murat Kırık, Ahmet Çetinkaya, Uğur Gündüz

Subject: Social Sciences, Media Studies Keywords: Fear of missing out (FOMO), Parental control, Problematic Social Media Use (PSMU), Social Media Addiction, Social Media Intrusion

Online: 7 July 2021 (10:23:46 CEST)

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Preprint ESSAY | doi:10.20944/preprints202003.0152.v1

Let's Stream! A Beginners' Guide to Live-Streaming Scientific Conferences

C. Eduardo Guerra Amorim, Serena Tucci

Subject: Social Sciences, Media Studies Keywords: live-streaming; video-conference; broadcast; scientific conferences; diversity; inclusion

Online: 10 March 2020 (02:29:22 CET)

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Preprint REVIEW | doi:10.20944/preprints202008.0235.v1

Twitter Functions in COVID-19 Pandemic and Other Natural Disasters: A Literature Review

Hamed Seddighi, Ibrahim Salmani

Subject: Social Sciences, Media Studies Keywords: Twitter; Disaster; Risk Reduction; Preparedness; Response; Recovery

Online: 10 August 2020 (04:45:36 CEST)

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Background: Twitter is a major tool for communication in emergencies such as natural disasters. This online social network allows the user to produce content, and it is not designed exclusively for news releases, as opposed to other service providers. Aim: The aim of this study is to investigate Twitter uses in natural disasters and pandemics. Methods: The included studies reported the role of Twitter in natural disasters. The studies that report in settings other than the natural disasters (such as man-made disasters) and other social media were excluded. Electronic databases for a comprehensive literature search including MEDLINE, Web of Science, CINAHL, PsycINFO, Cochrane Register of Controlled Trials (CENTRAL) and EMBASE were used to identify the records that match the mentioned inclusion criteria published till May 2020. The study characteristics were extracted from the qualified studies including year of publication, findings, and geographical location of the study conduct. A narrative synthesis for this literature review was used. Results: The search identified 822 articles of which 780 articles were removed, 256 were not available, 311 papers were not relevant, 16 were duplicated articles, and 197 were non-related to the emergencies. 45 articles met the selection criteria and were included in the review. eleven themes were found in the narrative synthesis including early warning, disseminating information and misinformation, advocacy, personal gains, assessment, various roles of organizations, public mood, geographical analysis, charity, using influencers, and trust. Conclusions: It is recommended that influential individuals be identified in each country and community before disasters occur so that the necessary information can be disseminated in response to disasters. Preventing the spread of misinformation is one of the most important issues in times of disaster, especially pandemics. Disseminating accurate, transparent, and prompt information from relief organizations and governments can help. Also, analyzing Twitter data can be a good source for understanding the mental state of the community, estimating the number of injured people, estimating the points affected by natural disasters, and modeling the prevalence of epidemics. Therefore, various groups such as politicians, the government, non-governmental organizations, aid workers, and the health system can use this information to plan and implement interventions.

Preprint REVIEW | doi:10.20944/preprints202211.0427.v1

Corporate Social Responsibility on Twitter: A Review of Topics and Digital Communication Strategies’ Success Factors

Katharina Pilgrim, Sabine Bohnet-Joschko

Subject: Social Sciences, Media Studies Keywords: Corporate Social Responsibility; Twitter; Stakeholder Management; Social Media Communication; Social Media; CSR; Communication Strategy

Online: 23 November 2022 (01:14:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0369.v2

Understanding the Strategies of Creating Fake News in Social Media

Dinusha Vatsalan, Nalin A.G. Arachchilage

Subject: Social Sciences, Media Studies Keywords: usable security; fake news; emotions; sentiment analysis; machine learning

Online: 27 November 2020 (16:43:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.1649.v1

Media Complexity in the Mirroring of Nigerian Political System: A Historical Appraisal

Blessed Ngonso, Atairet Atairet, Bassey Bassey, Amah Williams, Peter Egielewa

Subject: Social Sciences, Media Studies Keywords: media complexity; political system; historical appraisal

Online: 25 August 2023 (02:47:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0253.v1

The 21st Century Analysis of Causes and Solutions for the Loss of Indonesian Tolerance Towards a Paradigm of History

Dian Ananda Alviana, Moses Glorino Rumambo Pandin

Subject: Social Sciences, Media Studies Keywords: Tolerance; Social Media; Causes of Intolerance

Online: 9 June 2021 (10:48:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202011.0369.v1

Understanding the Strategies of Creating Fake News in Social Media

Dinusha Vatsalan, Jeyakumar Samantha Tharani, Nalin A.G. Arachchilage

Subject: Social Sciences, Media Studies Keywords: usable security; emotion; sentiment analysis; machine learning; fake news

Online: 13 November 2020 (10:05:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202106.0103.v1

Behind Clubhouse’s Trajectory and Phenom

Nora Chen

Subject: Social Sciences, Media Studies Keywords: COVID-19; Clubhouse; Social Media; Auditory Learning; Technology

Online: 3 June 2021 (11:35:30 CEST)

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Preprint REVIEW | doi:10.20944/preprints201912.0054.v1

Social Media Collaboration in Software Project Management

Sania Imran, Faiqa Mehboob, Mehreen Sirshar

Subject: Social Sciences, Media Studies Keywords: Social Media; PMBOK knowledge areas; Delphi Study; Structured Case Study; Team effectiveness

Online: 4 December 2019 (12:37:54 CET)

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Preprint HYPOTHESIS | doi:10.20944/preprints202201.0124.v1

Epistemic Communities under Active Inference

Mahault Albarracin, Daphne Demekas, Maxwell Ramstead, Conor Heins

Subject: Social Sciences, Media Studies Keywords: epistemic community; social media; active inference; opinion dynamics

Online: 10 January 2022 (15:14:16 CET)

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The spread of ideas is a fundamental concern of today’s news ecology. Understanding the dynamics of the spread of information and its co-option by interested parties is of critical importance. Research on this topic has shown that individuals tend to cluster in echo-chambers and are driven by confirmation bias. In this paper, we leverage the active inference framework to provide an in silico model of confirmation bias and its effect on echo-chamber formation. We build a model based on active inference, where agents tend to sample information in order to justify their own view of reality, which eventually leads to them to have a high degree of certainty about their own beliefs. We show that, once agents have reached a certain level of certainty about their beliefs, it becomes very difficult to get them to change their views. This system of self-confirming beliefs is upheld and reinforced by the evolving relationship between agent's beliefs and its observations, which over time will continue to provide evidence for their ingrained ideas about the world. The epistemic communities that are consolidated by these shared beliefs, in turn, tend to produce perceptions of reality that reinforce those shared beliefs. We provide an active inference account of this community formation mechanism. We postulate that agents are driven by the epistemic value that they obtain from sampling or observing the behaviors of other agents. Inspired by digital social networks like Twitter, we build a generative model in which agents generate observable social claims or posts (e.g. `tweets') while reading the socially-observable claims of other agents, that lend support towards one of two mutually-exclusive abstract topics. Agents can choose which other agent they pay attention to at each timestep, and crucially who they attend to and what they choose to read influences their beliefs about the world. Agents also assess their local network’s perspective, influencing which kinds of posts they expect to see other agents making. The model was built and simulated simulated using the freely-available Python package pymdp. The proposed active inference model can reproduce the formation of echo-chambers over social networks, and gives us insight into the cognitive processes that lead to this phenomenon.

Working Paper DATA DESCRIPTOR

A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period

Sara Melotte, Mayank Kejriwal

Subject: Social Sciences, Media Studies Keywords: COVID-19; Twitter; Geo-Tagged; Metropolitan; Computational Social Science

Online: 18 May 2021 (10:24:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0143.v1

Social Networks, Disinformation and Diplomacy: A Dynamic Model for A Current Problem

Alfredo Guzmán, Sandra Barragán, Belén Rodríguez-Canovas, Ruby Lorena Carrillo Barbosa, David Ricardo Africano Franco

Subject: Social Sciences, Media Studies Keywords: social networks; disinformation; diplomacy; conceptual model; propagation; citizenship

Online: 9 June 2022 (11:08:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0332.v1

An Egocentric Network Contact Tracing Experiment

Andrew Pilny, C. Joseph Huber

Subject: Social Sciences, Media Studies Keywords: contact tracing; ego networks; experimental design; social networks; field theory

Online: 14 December 2020 (13:06:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0302.v1

Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media

Ramya Akula, Ivan Garibay

Subject: Social Sciences, Media Studies Keywords: Sarcasm Detection; Self-Attention; Interpretability, Social Media Analysis

Online: 15 January 2021 (16:01:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints201910.0028.v1

Social Representations of Disabled Childcare in the Press: Faial Island (Azores, Portugal). From the Constitutional Monarchy to the First Republic

Sandro Serpa, Carlos Miguel Ferreira

Subject: Social Sciences, Media Studies Keywords: care; neglected childhood; charity; philanthropy; newspaper publications; monarchy; First Republic; Faial; Portugal

Online: 2 October 2019 (09:29:10 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202303.0453.v1

Analysis of Public Discourse on Twitter involving COVID-19 and MPox: Findings from Sentiment Analysis and Text Analysis

Nirmalya Thakur

Subject: Social Sciences, Media Studies Keywords: COVID-19; MPox; Twitter; Big Data; Data Mining; Data Analysis; Sentiment Analysis; Data Science; Social Media; Monkeypox

Online: 27 March 2023 (08:39:28 CEST)

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Mining and analysis of the Big Data of Twitter conversations have been of significant interest to the scientific community in the fields of healthcare, epidemiology, big data, data science, computer science, and their related areas, as can be seen from several works in the last few years that focused on sentiment analysis and other forms of text analysis of Tweets related to Ebola, E-Coli, Dengue, Human papillomavirus (HPV), Middle East Respiratory Syndrome (MERS), Measles, Zika virus, H1N1, influenza-like illness, swine flu, flu, Cholera, Listeriosis, cancer, Liver Disease, Inflammatory Bowel Disease, kidney disease, lupus, Parkinson's, Diphtheria, and West Nile virus. The recent outbreaks of COVID-19 and MPox have served as "catalysts" for Twitter usage related to seeking and sharing information, views, opinions, and sentiments involving both these viruses. While there have been a few works published in the last few months that focused on performing sentiment analysis of Tweets related to either COVID-19 or MPox, none of the prior works in this field thus far involved analysis of Tweets focusing on both COVID-19 and MPox at the same time. With an aim to address this research gap, a total of 61,862 Tweets that focused on Mpox and COVID-19 simultaneously, posted between May 7, 2022, to March 3, 2023, were studied to perform sentiment analysis and text analysis. The findings of this study are manifold. First, the results of sentiment analysis show that almost half the Tweets (the actual percentage is 46.88%) had a negative sentiment. It was followed by Tweets that had a positive sentiment (31.97%) and Tweets that had a neutral sentiment (21.14%). Second, this paper presents the top 50 hashtags that were used in these Tweets. Third, it presents the top 100 most frequently used words that are featured in these Tweets. The findings of text analysis show that some of the commonly used words involved directly referring to either or both viruses. In addition to this, the presence of words such as "Polio", "Biden", "Ukraine", "HIV", "climate", and "Ebola" in the list of the top 100 most frequent words indicate that topics of conversations on Twitter in the context of COVID-19 and MPox also included a high level of interest related to other viruses, President Biden, and Ukraine. Finally, a comprehensive comparative study that involves a comparison of this work with 49 prior works in this field is presented to uphold the scientific contributions and relevance of the same.

Preprint ARTICLE | doi:10.20944/preprints202102.0342.v1

Online Fake News About Food: Self-Evaluation, Social Influence And The Stages Of Change Moderation

Greta Castellini, Mariarosaria Savarese, Guendalina Graffigna

Subject: Social Sciences, Media Studies Keywords: Online Fake News; Interpersonal influence; Self-evaluation; Motivation for Change; Food Consumption.

Online: 17 February 2021 (07:39:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.1832.v1

The Evolution of the CSR and ESG Debate on Twitter: An Overview from the User Perspective

Rafael Pereira Telha, Paulo Vitor Jordão da Gama Silva, Vinicius Mothé Maia

Subject: Social Sciences, Media Studies Keywords: CSR; ESG; RSC; social midia; Twitter

Online: 29 August 2023 (03:08:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202111.0193.v1

The Concept of “New Media” Among News Producers

Shlash Alzyoud

Subject: Social Sciences, Media Studies Keywords: Social media; Professional journalism; Journalists; Citizen Journalism.

Online: 10 November 2021 (08:38:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0415.v1

Stigmatizing Monkeypox and COVID-19: A Comparative Framing Study of the Washington Post’s Online News

Weilun Ju, Shahrul Nazmi Sannusi, Emma Mohamad

Subject: Social Sciences, Media Studies Keywords: stigma; news frame; monkeypox; COVID-19; The Washington Post; online news

Online: 22 December 2022 (03:42:16 CET)

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Preprint REVIEW | doi:10.20944/preprints202302.0364.v1

Post or Perish? Social Media Strategies for Disseminating Orthopedic Research

Evan Buettmann, Carolyn Chlebek, Carly Lockard, Sade Clayton, Karl Lewis, Kelsey Collins

Subject: Social Sciences, Media Studies Keywords: Twitter; Social Media; Altmetrics; Citations; Orthopedic Research Society; Publication

Online: 22 February 2023 (01:34:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202303.0011.v1

Evidence-Based Methods of Communicating Science to the Public Through Data Visualization

Eric Allen Jensen, Kalina Borkiewicz, Jill Naiman, Stuart Levy, Jeff Carpenter

Subject: Social Sciences, Media Studies Keywords: science communication; informal learning; public engagement; science in the media; entertainment media; data visualization; scientific visualization

Online: 1 March 2023 (06:23:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.0266.v1

Misinformation about the COVID-19 Vaccine in the Online Catholic Media

Verónica Israel-Turim, Valentina Laferrara, Ana Regina Rego, Josep Lluís Micó-Sanz

Subject: Social Sciences, Media Studies Keywords: misinformation; catholic media; COVID-19 vaccine; fake news; infodemic; health communication; vaccination; news media; digital media

Online: 4 May 2023 (12:57:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.0777.v1

Emotions during the Pandemic’s First Wave: The Case of Greek Tweets

Yannis Skarpelos, Sophia Messini, Elina Roinioti, Kostas Karpouzis, Stavros Kaperonis, Michaela-Gavriela Marazoti

Subject: Social Sciences, Media Studies Keywords: COVID-19; pandemic; Social Network Analysis SNA; emotion; sentiment; Greece

Online: 12 December 2023 (05:49:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1354.v1

The Impact of Virtual Private Network (VPN) on Nigerians during the 2021 Twitter Ban: A Cross-Sectional Study

Oyinbolaji AJETUNMOBI

Subject: Social Sciences, Media Studies Keywords: Virtual Private Networks (VPN); Twitter ban; social media dynamics; regulatory interventions; digital landscape

Online: 19 December 2023 (05:58:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1608.v1

Verification of the Influence of Media and SNS Use on Behavioral Intention and Psychological Satisfaction: A Korean Public Dataset Analysis

JaeGu Yu, Sukkyu Kim

Subject: Social Sciences, Media Studies Keywords: social network; media usage; behavioral intention; advertisement acceptance; life value; psychological satisfaction; public data policy; media psychology

Online: 24 November 2023 (13:58:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0059.v1

The Carrot or the Stick?: Effects of Reinforcement and Trust in Government on Parental Decision on Vaccination for Teens during an Infectious Disease Crisis

Seoyeon Kim, Grace EunHae Park

Subject: Social Sciences, Media Studies Keywords: reinforcement; vaccination; incentives; child vaccination; trust in government

Online: 2 January 2024 (09:37:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.1194.v1

Beyond Entertainment: The Role of Nostalgic Content-Creation in Shaping Healthy Digital Communities -the Unique Case of Tim Rowett and Grand Illusions

Nikolaos Misirlis

Subject: Social Sciences, Media Studies Keywords: social media; content creation; digital communities; Tim Rowett; Grand Illusions; engagement

Online: 18 April 2024 (08:10:53 CEST)

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