scholarly journals PRESENTING PERFECTION: CONSTRUCTING IDENTITY IN THE REHEARSAL STAGE OF ONLINE INTERACTION

2020 ◽  
Author(s):  
Hannah Ditchfield
Keyword(s):  
Social Media ◽  
Conversation Analysis ◽  
Identity Construction ◽  
Online Communication ◽  
Online Interaction ◽  
Online Interactions ◽  
Screen Capture ◽  
Social Media Platforms ◽  
Preparatory Work

Social media platforms such as Facebook have been understood to present new possibilities for interaction. Yet, there have been concerns surrounding the reducing quality of our interaction and conversation. Such debates, however, have not considered the pre-post dimension of online environments: that is, the preparatory work that occurs to online posts before they are shared with their audience. Based on real time recordings of Facebook Messenger interactions, this paper asks what the pre-post perspective tells us about the quality of our interactions online. The analysis is theoretically informed by Goffman and methodologically by conversation analysis and addresses this question with a focus on processes of identity construction. Specifically, this paper questions how the practice of pre-post editing (the editing of messages before sending) is used by users to represent self online and what this then tells us about the quality of our online talk. In presenting innovative screen capture data, this paper argues against claims that our interaction online is declining in quality instead showing the ways users perfect their online posts by elaborating a new stage of online communication: the ‘rehearsal’ stage. In doing this, this work reflects on the wider implications the affordance of pre-post editing has on users’ social media experiences questioning the impacts constructing ‘perfect lives’ has and the potential for creating ‘reduced’ versions of self within our online interactions.

Behind the screen of Facebook: Identity construction in the rehearsal stage of online interaction

2019 ◽  
Vol 22 (6) ◽  
pp. 927-943 ◽  
Author(s):  
Hannah Ditchfield
Keyword(s):  
Social Media ◽  
Conversation Analysis ◽  
Real Time ◽  
Identity Construction ◽  
Online Communication ◽  
Online Interaction ◽  
Screen Capture ◽  
Social Media Platforms ◽  
Preparatory Work

Social media platforms such as Facebook have been understood to present new possibilities for interaction. Yet, there have been concerns surrounding the reducing quality of our interaction and conversation. Such debates, however, have not considered the pre-post dimension of online environments: that is, the preparatory work that occurs to online posts before they are shared with their audience. Based on real-time recordings of Facebook Messenger interactions, this article asks what the pre-post perspective tells us about the quality of our interactions online. The analysis is theoretically informed by Goffman and methodologically by conversation analysis and addresses this question with a specific focus on processes of identity construction and face. In presenting innovative screen capture data, this article argues against claims that our interaction online is declining in quality instead showing the ways users perfect their online posts by elaborating a new stage of online communication: the ‘rehearsal’ stage.

scholarly journals “Best of both worlds”: A students-as-partners near-peer moderation program improves student engagement in a course Facebook group

2019 ◽  
Vol 3 (1) ◽  
pp. 169-181
Author(s):  
Mohammad Jay ◽  
Michelle Lim ◽  
Khalid Hossain ◽  
Tara White ◽  
Syed Reza Naqvi ◽  
...  
Keyword(s):  
Social Media ◽  
Student Engagement ◽  
Online Communication ◽  
Traditional Learning ◽  
The Third ◽  
Social Media Platforms ◽  
Effective Use ◽  
Senior Students ◽  
Traditional Learning Environments

Social media platforms like Facebook are designed to facilitate online communication and networking, primarily around content posted by users. As such, these technologies are being considered as potential enhancements to traditional learning environments. However, various barriers to effective use may arise. Our research investigated the effectiveness of a students-as-partners near-peer moderation project, arising from collaboration between instructors and senior students, as a vehicle for enhancing student interaction in a Facebook group associated with a large introductory science course. The quantity and quality of sample posts and comments from Facebook groups from three successive academic years were evaluated using a rubric that considered characteristics such as civility, content accuracy, critical thinking and psychological support. Two of these groups were moderated by near-peer students while the third group was not moderated.  We found improved course discussion associated with moderated groups in addition to benefits to moderators and the faculty partner. This suggests that near-peer moderation programs working in collaboration with faculty may increase student engagement in social media platforms.

scholarly journals Importance-Aware Learning for Neural Headline Editing

2020 ◽  
Vol 34 (05) ◽  
pp. 9282-9289
Author(s):  
Qingyang Wu ◽  
Lei Li ◽  
Hao Zhou ◽  
Ying Zeng ◽  
Zhou Yu
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Network Models ◽  
Language Models ◽  
Neural Network Models ◽  
Generation Task ◽  
Social Media Platforms ◽  
Editing Process ◽  
Different Levels

Many social media news writers are not professionally trained. Therefore, social media platforms have to hire professional editors to adjust amateur headlines to attract more readers. We propose to automate this headline editing process through neural network models to provide more immediate writing support for these social media news writers. To train such a neural headline editing model, we collected a dataset which contains articles with original headlines and professionally edited headlines. However, it is expensive to collect a large number of professionally edited headlines. To solve this low-resource problem, we design an encoder-decoder model which leverages large scale pre-trained language models. We further improve the pre-trained model's quality by introducing a headline generation task as an intermediate task before the headline editing task. Also, we propose Self Importance-Aware (SIA) loss to address the different levels of editing in the dataset by down-weighting the importance of easily classified tokens and sentences. With the help of Pre-training, Adaptation, and SIA, the model learns to generate headlines in the professional editor's style. Experimental results show that our method significantly improves the quality of headline editing comparing against previous methods.

scholarly journals Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256696
Author(s):  
Anna Keuchenius ◽  
Petter Törnberg ◽  
Justus Uitermark
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Network Analysis ◽  
Language Processing ◽  
User Interaction ◽  
User Interactions ◽  
Online Interactions ◽  
Network Analyses ◽  
Social Media Platforms ◽  
Signed Network

Despite the prevalence of disagreement between users on social media platforms, studies of online debates typically only look at positive online interactions, represented as networks with positive ties. In this paper, we hypothesize that the systematic neglect of conflict that these network analyses induce leads to misleading results on polarized debates. We introduce an approach to bring in negative user-to-user interaction, by analyzing online debates using signed networks with positive and negative ties. We apply this approach to the Dutch Twitter debate on ‘Black Pete’—an annual Dutch celebration with racist characteristics. Using a dataset of 430,000 tweets, we apply natural language processing and machine learning to identify: (i) users’ stance in the debate; and (ii) whether the interaction between users is positive (supportive) or negative (antagonistic). Comparing the resulting signed network with its unsigned counterpart, the retweet network, we find that traditional unsigned approaches distort debates by conflating conflict with indifference, and that the inclusion of negative ties changes and enriches our understanding of coalitions and division within the debate. Our analysis reveals that some groups are attacking each other, while others rather seem to be located in fragmented Twitter spaces. Our approach identifies new network positions of individuals that correspond to roles in the debate, such as leaders and scapegoats. These findings show that representing the polarity of user interactions as signs of ties in networks substantively changes the conclusions drawn from polarized social media activity, which has important implications for various fields studying online debates using network analysis.

Evolving In Step or Poles Apart?

2015 ◽  
pp. 1307-1330
Author(s):  
Karolina Koc-Michalska ◽  
Darren G. Lilleker
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Comparative Studies ◽  
Communication Strategies ◽  
Online Communication ◽  
Parliamentary Elections ◽  
Sales Strategy ◽  
Social Media Platforms ◽  
Online Strategies ◽  
Web Cartography

Comparative studies are rare in the study of online communication campaigning. The authors chose two cases, Poland and France, to describe the two campaigns for the Parliamentary elections. Content analysis allowed the authors to detect online communication strategies and parties' attempt to reach different audiences. Web-cartography illustrates the parties' network connections. The authors find strong cross-country and resource-based differences for the more interactive and engaging features (Web 2.0), which are not that powerful for explaining audience-targeting strategies. Overall a sales strategy and a focus on marketing dominated over e-representation (exhibiting the parties' political record). In both countries social media platforms are well incorporated into online strategies. Facebook dominates in Poland, Twitter in France. Web cartography gives a counterintuitive picture of the Polish parties' network being much more personalized but also of more ghettoing within the supporting environment.

Consumer Engagement in Social Media Platforms

2021 ◽  
pp. 480-501
Author(s):  
Hans Ruediger Kaufmann ◽  
Agapi Manarioti
Keyword(s):  
Social Media ◽  
New Media ◽  
Psychological Needs ◽  
Large Majority ◽  
Marketing Communication ◽  
Online Interaction ◽  
Consumer Engagement ◽  
Communication Framework ◽  
The Social ◽  
Social Media Platforms

If ‘to be social' is the sum of people's online interaction intentions, that can be monitored by marketers but not coerced, how can we make best use of these powerful new media? The answer lies in understanding the internal, psychological needs that are fulfilled by the social media and how they are demonstrated and testified by liking, sharing and engaging in general with specific pieces of content, while rejecting others. In this environment, marketers are called to develop a “brand as a person” strategy, in order for their brands to mingle and interact with consumers beyond the traditional marketing communication framework. In this chapter, we explore and discuss the strategic use of the social media as a concept that needs to be thoroughly understood but seemingly hasn't been yet by a large majority of marketers.

scholarly journals Sex Work and Social Media: Online Advocacy Strategies

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Emma E. Duke ◽  
Kathleen C. Sitter ◽  
Nicole Boggan
Keyword(s):  
Social Media ◽  
Sex Work ◽  
Sex Workers ◽  
Online Communication ◽  
Service Organizations ◽  
Non Profit ◽  
Safe Spaces ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
Media Channels

Online communication continues to provide opportunities to connect, mobilize and disseminate information amongst direct service organizations. While the use of social media among non-profits continues to expand, there is a paucity of research that documents the extent to which online channels – particularly social media – are adopted and used amongst organizations that support sex workers. Online advocacy efforts have grown over the last decade, with sex workers and non-profit organizations at the forefront. This article evaluates the presence and social media strategies amongst organizations providing direct services for sex workers in Canada. Eighty-seven organizations operating in Canada were examined to assess both the types of social media channels used, and the online strategies employed. Results indicate there is a propensity for agencies to engage in multiple social media platforms with spaces for service users to post information in lieu of static sites that predominantly support one-way communication. Recommendations and best practices include integrating postings across platforms for efficiency, developing and maintaining safe spaces online, and focusing on channels that support multilogue communication.             Keywords:  Sex work, social media, knowledge

Analyzing Social Media Research: A Data Quality and Research Reproducibility Perspective

2021 ◽  
pp. 227797522110118
Author(s):  
Amit K. Srivastava ◽  
Rajhans Mishra
Keyword(s):  
Social Media ◽  
Data Quality ◽  
Quality Of Data ◽  
Social Media Data ◽  
National Crisis ◽  
Social Media Platforms ◽  
Quality Issues ◽  
The One ◽  
Media Data

Social media platforms have become very popular these days among individuals and organizations. On the one hand, organizations use social media as a potential tool to create awareness of their products among consumers, and on the other hand, social media data is useful to predict the national crisis, election polls, stock prediction, etc. However, nowadays, a debate is going on about the quality of data generated on social media platforms, whether it is relevant for prediction and generalization. The article discusses the relevance and quality of data obtained from social media in the context of research and development. Social media data quality issues may impact the generalizability and reproducibility of the results of the study. The paper explores possible reasons for quality issues in the data generated over social media platforms along with the suggestive measures to minimize them using the proposed social media data quality framework.

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