Impoliteness across social media platforms

2021 ◽  
Author(s):  
Korallia Teneketzi
Keyword(s):  
Social Media ◽  
Comparative Research ◽  
Corpus Analysis ◽  
User Community ◽  
Total Absence ◽  
Online Social Media ◽  
Analysis Tools ◽  
Social Media Platforms ◽  
Post Length ◽  
Representative Samples

Abstract This paper responds to the call for more comparative research across online social media platforms (Graham and Hardaker 2017, 808) and examines discourse across two such platforms, YouTube and Reddit. More specifically, it attempts to investigate whether the affordances of these platforms have an impact on the amount and form of impoliteness employed by their users. Data on a highly contested topic (the July 2018 wildfires in Attica, Greece) is studied both qualitatively and quantitatively. First, small but representative samples are qualitatively analyzed on the basis of the two major impoliteness types: implicational and conventionalized, and their subcategories. In addition, swearword keywords extracted by means of corpus analysis tools are analyzed. It is shown that YouTube involves a great deal of (conventionalized) impoliteness (Culpeper 2011a) which could be due to factors such as the total absence of moderation, of post length limit and of detailed personal profiles as well as the presence of videos as stimuli for interaction. Considerably less impoliteness appears on Reddit, whose forum-like nature makes it a place that mostly invites civil interaction. Implicationally impolite (Culpeper 2011a) posts outnumber conventionally impolite ones, perhaps owing to the heavy moderation, the existence of public profiles and the size and coherence of the user community. It is concluded that, due to their characteristics, platforms seem to attract a certain userbase with its own motives and mindset, which in turn shape the impoliteness found within them.

Understanding the Role of Online Media Platforms in Airport Capital Projects and Community Outreach

2021 ◽  
pp. 036119812199347
Author(s):  
Max Z. Li ◽  
Megan S. Ryerson
Keyword(s):  
Social Media ◽  
Best Practices ◽  
Community Outreach ◽  
Capital Projects ◽  
The Public ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Project Phases ◽  
Media Channels ◽  
Common Content

Community outreach and engagement efforts are critical to an airport’s role as an ever-evolving transportation infrastructure and regional economic driver. As online social media platforms continue to grow in both popularity and influence, a new engagement channel between airports and the public is emerging. However, the motivations behind and effectiveness of these social media channels remain unclear. In this work, we address this knowledge gap by better understanding the advantages, impact, and best practices of this newly emerging engagement channel available to airports. Focusing specifically on airport YouTube channels, we first document quantitative viewership metrics, and examine common content characteristics within airport YouTube videos. We then conduct interviews and site visits with relevant airport stakeholders to identify the motivations and workflow behind these videos. Finally, we facilitate sample focus groups designed to survey public perceptions of the effectiveness and value of these videos. From our four project phases, to maximize content effectiveness and community engagement potential, we synthesize the following framework of action items, recommendations, and best practices: (C) Consistency and community; (O) Organizational structure; (M) Momentum; (B) Branding and buy-in; (A) Activity; (T) Two-way engagement; (E) Enthusiasm; and (D) Depth, or as a convenient initialism, our COMBATED framework.

A Survey of Computational Methods for Online Mental State Assessment on Social Media

2021 ◽  
Vol 2 (2) ◽  
pp. 1-31
Author(s):  
Esteban A. Ríssola ◽  
David E. Losada ◽  
Fabio Crestani
Keyword(s):  
Social Media ◽  
Mental Disorders ◽  
Mental State ◽  
Extraction Process ◽  
State Assessment ◽  
Future Research ◽  
Linguistic Markers ◽  
Online Social Media ◽  
Suicide Behaviour ◽  
Social Media Platforms

Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using online digital records. The presented studies are organised according to the assessment technology and the feature extraction process conducted. We also present a series of studies which explore different aspects of the language and behaviour of individuals suffering from mental disorders, and discuss various aspects related to the development of experimental frameworks. Furthermore, ethical considerations regarding the treatment of individuals’ data are outlined. The main contributions of this survey are a comprehensive analysis of the proposed approaches for online mental state assessment on social media, a structured categorisation of the methods according to their design principles, lessons learnt over the years and a discussion on possible avenues for future research.

scholarly journals Selfies as expressively authentic identity performance

First Monday ◽  
2017 ◽  
Author(s):  
Linh Nguyen ◽  
Kim Barbour
Keyword(s):  
Social Media ◽  
Focus Group ◽  
Theoretical Frameworks ◽  
Self Identity ◽  
Face To Face ◽  
Digital World ◽  
Online Social Media ◽  
Social Media Platforms ◽  
The Individual ◽  
The University

This paper explores whether or not our online social media persona is viewed as authentic. The selfie is a fundamental part of the structure of the online identity for young people in today’s digital world. The relationship between an individual’s self-identity in the physical face-to-face environment was analysed and compared to a carefully constructed, modified virtual representation in a selfie posted on social media platforms. Data was obtained through four focus groups at the University of Adelaide. Two key theoretical frameworks provide a basis for this study: Erving Goffman’s concept of the self as a performance, and Charles Horton Cooley’s concept of the looking glass self. In examining the focus group discussions in light of these two frameworks as well as associated literature, we conclude that the authenticity of the selfie as a way of visualising a social media persona is subjective and dependent on the individual posting a selfie. Ultimately, authenticity involves a degree of subjectivity. It was on this basis that focus group participants argued that selfies could be considered authentic expressions of identity.

scholarly journals Distortions of political bias in crowdsourced misinformation flagging

2020 ◽  
Vol 17 (167) ◽  
pp. 20200020
Author(s):  
Michele Coscia ◽  
Luca Rossi
Keyword(s):  
Social Media ◽  
News Item ◽  
Real World Data ◽  
Media Environment ◽  
Political Bias ◽  
News Sources ◽  
Online Social Media ◽  
News Source ◽  
Social Media Platforms ◽  
Current Content

Many people view news on social media, yet the production of news items online has come under fire because of the common spreading of misinformation. Social media platforms police their content in various ways. Primarily they rely on crowdsourced ‘flags’: users signal to the platform that a specific news item might be misleading and, if they raise enough of them, the item will be fact-checked. However, real-world data show that the most flagged news sources are also the most popular and—supposedly—reliable ones. In this paper, we show that this phenomenon can be explained by the unreasonable assumptions that current content policing strategies make about how the online social media environment is shaped. The most realistic assumption is that confirmation bias will prevent a user from flagging a news item if they share the same political bias as the news source producing it. We show, via agent-based simulations, that a model reproducing our current understanding of the social media environment will necessarily result in the most neutral and accurate sources receiving most flags.

Rumors on the Net: A Brackish Suspension of Speech and Hate

2019 ◽  
pp. 174387211988012 ◽  
Author(s):  
Anne Wagner ◽  
Sarah Marusek
Keyword(s):  
United States ◽  
Social Media ◽  
Hate Speech ◽  
Public Memory ◽  
The United States ◽  
Online Social Media ◽  
Cyber Culture ◽  
Social Media Platforms ◽  
The Impact ◽  
Mob Mentality

The legitimacy of public memory and socially normative standards of civility is questioned through rumors that abound on online social media platforms. On the Net, the proclivity of rumors is particularly prone to acts of bullying and frameworks of hate speech. Legislative attempts to limit rumors operate differently in France and throughout Europe from the United States. This article examines the impact of online rumors, the mob mentality, and the politicization of bullying critics within a cyber culture that operates within the limitations of law.

scholarly journals Network Analysis of COVID-19 Vaccine Misinformation on Social Media

2021 ◽  
Author(s):  
Chad Melton ◽  
Olufunto A. Olusanya ◽  
Arash Shaban-Nejad
Keyword(s):  
Social Media ◽  
Network Analysis ◽  
Semantic Network ◽  
Vaccine Safety ◽  
Vaccine Hesitancy ◽  
World Population ◽  
Semantic Network Analysis ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Media Platform

Almost half of the world population has received at least one dose of vaccine against the COVID-19 virus. However, vaccine hesitancy amongst certain populations is driving new waves of infections at alarming rates. The popularity of online social media platforms attracts supporters of the anti-vaccination movement who spread misinformation about vaccine safety and effectiveness. We conducted a semantic network analysis to explore and analyze COVID-19 vaccine misinformation on the Reddit social media platform.

scholarly journals NAVIGATING THE POST-TRUTH ERA: TRUST, MISINFORMATION, AND CREDIBILITY ASSESSMENT ON ONLINE SOCIAL MEDIA

2019 ◽  
Vol 2019 ◽  
Author(s):  
Eleni A. Kyza ◽  
Christiana Varda
Keyword(s):  
Social Media ◽  
Online News ◽  
Online Information ◽  
Theory Approach ◽  
Credibility Assessment ◽  
Individual Interviews ◽  
Online Social Media ◽  
Phase Study ◽  
Social Media Platforms ◽  
Study Participants

As access to news is increasingly mediated through social media platforms, there are rising concerns for citizens’ ability to evaluate online information and detect potentially misleading items. While many studies have reported on how people assess the credibility of information, there are few reports on processes related to evaluating information online and people’s decision to trust and share the information with others. This paper reports on the first part of a three-phase study which aimed to gain an in-depth understanding of citizens’ practices and needs in assessing the credibility of information shared online and co-create solutions to address this problem. Data were collected from three European countries, through a survey on misinformation perceptions, focus groups, follow-up individual interviews, and co-creation activities with three stakeholder groups. The data were analyzed qualitatively, using, primarily, a grounded theory approach. Results from the citizens’ stakeholder group indicate that personal biases, emotions, time constraints, and lack of supporting technologies impacts the credibility assessment of online news. Study participants also discussed the need for increased media literacy actions, especially in youth. Based on preliminary findings we argue that we need a diversified approach to support citizens’ resilience against the spread of misinformation.

scholarly journals Towards Combating Pandemic-Related Misinformation in Social Media

2021 ◽  
pp. 140-158
Author(s):  
Isa Inuwa-Dutse
Keyword(s):  
Social Media ◽  
Public Discourse ◽  
Preventive Measures ◽  
State Of The Art ◽  
Fake News ◽  
Social Distancing ◽  
The Public ◽  
Toxic Impact ◽  
Online Social Media ◽  
Social Media Platforms

Conventional preventive measures during pandemics include social distancing and lockdown. Such measures in the time of social media brought about a new set of challenges – vulnerability to the toxic impact of online misinformation is high. A case in point is COVID-19. As the virus propagates, so does the associated misinformation and fake news about it leading to an infodemic. Since the outbreak, there has been a surge of studies investigating various aspects of the pandemic. Of interest to this chapter are studies centering on datasets from online social media platforms where the bulk of the public discourse happens. The main goal is to support the fight against negative infodemic by (1) contributing a diverse set of curated relevant datasets; (2) offering relevant areas to study using the datasets; and (3) demonstrating how relevant datasets, strategies, and state-of-the-art IT tools can be leveraged in managing the pandemic.

scholarly journals The Behavioral Intention in Accessing Digital Healthcare Information on Social Media

2021 ◽  
pp. 510-521
Author(s):  
Philomina P. Ofori ◽  
Ethel Asante Antwi ◽  
Adelaide Asante-Oduro
Keyword(s):  
Social Media ◽  
Design Method ◽  
Healthcare Information ◽  
Media Usage ◽  
Behavior Intention ◽  
Online Social Media ◽  
Use Of Technology ◽  
Validated Questionnaire ◽  
Effort Expectancy ◽  
Social Media Platforms

Purpose: Social media healthcare is becoming increasingly important in healthcare as many individuals seek healthcare information and support through online social media platforms. Social media healthcare is an emerging field; however, it is not clear what factors influence an individual’s acceptance of its usage. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study explores the factors that influence acceptance of social media usage for healthcare by consumers. Design/Method: Using a purposive sampling approach, the researchers sent a validated questionnaire link to participants through social media platforms. A total of 260 responses from respondents were analyzed using SmartPLS3. Results: Analysis of the data revealed that performance expectancy, effort expectancy, social influence, and satisfaction significantly impact consumers’ behavior intention to embrace social media health information. The effect of four identified factors: “PE” (β = .415, t-value = 3.194, p < .001), “EE” (β = -. 3.98, t-value = 2.443, p < .015), “SI” (β = .593, t-value = 3.774, p < .000), “SAT” (β = .312, t-value = 2.676, p < .008). Conclusions: Social media health is vital to healthcare seekers, especially where it enables consumers to manage their health. On implication, the study provides healthcare givers and professionals insight on how to approach and advance social media healthcare education and interaction with consumers.

From likes to love: trust catalysing the digital romantic journey

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Burna Nayar ◽  
Surabhi Koul
Keyword(s):  
Social Media ◽  
Romantic Relationships ◽  
Romantic Relationship ◽  
Online Dating ◽  
Self Disclosure ◽  
Content Type ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Social Intimacy

Purpose The behavioural changes embraced by the current generation has prompted researchers to revisit the paradigm of human relationships, especially romantic liaisons. The present study revisits the construct of romantic relationships steered by social media platforms, through the dimensions of self-disclosure, social intimacy and trust. The role of trust as a mediator to determine the success of online dating is also explored in this study. Design/methodology/approach The study uses the data collected from 225 respondents (86 females and 139 males) in the age group of 18 to 30 years. The respondents were asked to fill a questionnaire (provided they fulfilled the necessary conditions and expressed their consent to be a participant in this study). Findings The study validates that the extent of self-disclosure propels the degree of social intimacy. The results also confirm a significant partial mediation effect of trust on the relationship between social intimacy and the success of online dating. Thus, practitioners need to keep in mind that the probability of online dating success is higher when individuals disclose more and engage in an intimate relationship driven by trust. Research limitations/implications The study sample is restricted to young adults ranging from 18 to 30 years, based on the author’s convenience. The study was restricted to three most popular social media platforms in India where disclosure is limited to private timelines or messages. Another limitation of this study is that a multi-variate model of analysis could not be used due to the lack of parallel variables. Further studies can also compare online versus offline dating behaviour and determinants that influence the romantic relationship between two partners. Practical implications The new perspective could be to ascertain specific built-in mechanisms providers should develop to ensure that the new generation benefits from new technology rather than falling victim to its toxins. Social implications The study re-establishes the importance of the role of trust in any romantic relationship – may it be online or the more traditional, offline or face-to-face mode. Originality/value The study delves into the domain of existing romantic relationships established through the modernistic viewpoint of online social media platforms. The findings bring a fresh perspective on the dynamics of online romantic relationships through the mélange of self-disclosure, social intimacy and trust. Previous literature suggests that trust is dependent on self-disclosure, which is in contrast with the results of the current study. The present study corroborates that trust leads to the success of online dating.

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