Welcome to Academia, Expect Cyberbullying

2021 ◽  
pp. 242-265
Author(s):  
Julie L. Snyder-Yuly ◽  
Tracey Owens Patton ◽  
Stephanie L. Gomez
Keyword(s):  
Social Media ◽  
Age Differences ◽  
Academic Settings ◽  
Faculty Women ◽  
Bullying Behaviors ◽  
Contrapower Harassment ◽  
Racial Ethnic ◽  
Different Levels ◽  
Perceived Power

Academic contrapower harassment occurs when those with less perceived power harass someone with more power. Cyberbullying as contrapower occurs when students express varying levels of incivility and bullying through assorted online mediums such as email, online evaluations, or social media sites. This project examines the experiences of three faculty women with different racial/ethnic backgrounds, age differences, years in the academy, and at different levels within their career, and explores the connection between sexism and racism that persist in academic settings. Experiencing varying levels of cyberbullying the authors have found departments, administration, and universities fail to provide training or policies to protect faculty from student bullying behaviors. The concept of hegemonic civility is used to illustrate how the actions of students and inaction of administrators uphold the hegemonic order.

scholarly journals Producing deflective online strategies: Lessons from New Zealand women’s management of social media engagement

2021 ◽  
pp. 1-16
Author(s):  
Sarah Hendrica Bickerton ◽  
Karl Löfgren
Keyword(s):  
Social Media ◽  
New Zealand ◽  
Public Engagement ◽  
Analytical Approach ◽  
Gender Effect ◽  
Social Location ◽  
Strategic Approach ◽  
Online Strategies ◽  
Twitter Users ◽  
Different Levels

Public engagement is a gendered experience, whether offline or online, something which is reflected in women’s experiences of social media. In this article, we seek to systematically explore the experiences from politically engaged women twitter users in New Zealand in order to draw some lessons, through a thematic and interpretative analytical approach, at four different strategic levels on how to deflect intimidating and aggressive behaviour. We conclude that understanding strategically how structural social locations like gender effect the ability to contribute to political participation and engagement, if addressed, can produce more inclusive and productive online political and policy spaces. Further, this strategic approach involves connecting together different levels of response to online negativity such as platform tools, space-curation, and monitoring, having these made coherent with each other, as well as with this strategic understanding of how structural social location plays into access and use of online political and policy spaces.

Is this mine? Psychological ownership and the social media follower

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Caroline S.L. Tan
Keyword(s):  
Social Media ◽  
Design Methodology ◽  
Vital Role ◽  
Psychological Ownership ◽  
Structured Interviews ◽  
Content Type ◽  
Face To Face ◽  
The Social ◽  
Social Currency ◽  
Different Levels

Purpose The purpose of this study is to examine psychological ownership (PO) experienced by followers of social media influencers toward both influencer and the product. Design/methodology/approach Data were collected using face-to-face semi-structured interviews that were conducted with 30 respondents and analyzed using thematic analysis. Findings The study demonstrated that the PO experienced by the follower changes under different conditions resulting from perceived value, social currency and follower activity. Social currency plays a vital role in determining the target of PO, often affecting the narrative by the follower. Originality/value To the best of the author’s knowledge, this is the first paper to examine the transference of PO between product and influencer as experienced by the follower. It provides an understanding on PO that is experienced in different levels of intensity and changes depending on the motive of the follower; hence, transference of PO occurs and it is not a static.

Sticks and Stones May Break My Bones . . . Reasoning About Illness Causality and Body Functioning in Children Who Have a Chronic Illness

PEDIATRICS ◽  
1991 ◽  
Vol 88 (3) ◽  
pp. 608-619
Author(s):  
Ellen C. Perrin ◽  
Aline G. Sayer ◽  
John B. Willett
Keyword(s):  
Chronic Illness ◽  
Age Differences ◽  
Conceptual Development ◽  
Seizure Disorder ◽  
Healthy Children ◽  
Cognitive Reasoning ◽  
Different Types ◽  
Reasoning Skills ◽  
Experience Of Illness ◽  
Different Levels

Children's concepts about illness causality and bodily functioning change in a predictable way with advancing age. Differences in the understanding of these concepts in healthy children vs children with a chronic illness have not been clearly delineated. This study included 49 children with a seizure disorder, 47 children with an orthopaedic condition, and 96 healthy children, all with normal intelligence and ranging in age from 5 to 16 years. It demonstrates systematic differences in children's general reasoning skills and in their understanding of concepts about illness causality and bodily functioning, as a function of their age and experience of illness. At all ages, children who had a condition with orthopaedic involvement reported less sophisticated general reasoning and concepts about illness than did healthy children; children with a seizure disorder reported similar general reasoning skills to those of healthy children, but considerably less sophisticated concepts about illness. children's concepts about body functioning did not differ as a function of the presence of a chronic illness. When their different levels of general cognitive reasoning were statistically controlled, children with a chronic illness had somewhat more sophisticated concepts about bodily functioning than did healthy children. Differences in conceptual development among children with different types of illnesses lead to interesting speculations with regard to the effects of particular illness characteristics on children's cognitive development.

scholarly journals The Influence of Heuristic judgments in Social Media on Corporate Reputation: A Study in Spanish Leader Companies

2020 ◽  
Vol 12 (4) ◽  
pp. 1640 ◽  
Author(s):  
Luis Manuel Cerdá Suárez ◽  
Jesús Perán López ◽  
Belén Cambronero Saiz
Keyword(s):  
Social Media ◽  
Corporate Reputation ◽  
Cognitive Biases ◽  
Managerial Performance ◽  
Economic Agents ◽  
Using Data ◽  
Business And Management ◽  
Positive Effect ◽  
Different Levels ◽  
High Uncertainty

From a corporate-side perspective, the communication of reputational actions and news of companies becomes critical for success. However, in communication, business, and management studies, heuristics can be understood as simple cognitive processes that allow assessments, predictions, and decisions to be made quickly and efficiently by consumers and economic agents. This aspect can sometimes lead to cognitive biases, especially when little information is available or in situations of high uncertainty. The aim of this research is to investigate the influence of heuristic judgments in social media on corporate reputation ratings obtained in Spanish leader companies. Using data collected in Spain, this paper analyzes the influence of heuristics concerning news items on corporate reputation, measured by the Monitor Empresarial de Reputación Corporativa (MERCO) Index. The main finding of this paper is that the total number of news items has a positive effect on corporate reputation, particularly in the categories of culture-values, results/image, expansion, and sponsorship/donations. Additionally, this work serves as a repository of knowledge applicable to similar situations considering the specificities of each particular case. The importance to intervene on certain variables at different levels of managerial performance is described and implications for companies are discussed in these pages.

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 Age Differences in the Relationship Between Daily Social Media Usage and Affect

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 410-410
Author(s):  
Xin Yao Lin ◽  
Margie Lachman
Keyword(s):  
Older Adults ◽  
Social Media ◽  
Negative Affect ◽  
Age Differences ◽  
Well Being ◽  
The United States ◽  
Future Research ◽  
Media Usage ◽  
The Relationship ◽  
Daily Time

Abstract Social media platforms allow people to connect and share content online (e.g., Facebook, Twitter). Although older adults are becoming more frequent users of social media, there continue to be mixed views on whether social media positively or negatively impacts well-being. Past studies have mainly focused on cross-sectional analyses for individual differences. However, both the time spent on social media and one’s affect can fluctuate on a daily basis. Thus, it is important to understand how the relationship between daily social media usage and affect varies within individuals from day to day. The current study adds to the literature by examining whether daily variations in time spent with social media are related to daily positive and negative affect and whether there are age differences in these relationships. The current study used an eight-day daily diary from the Midlife in the United States (MIDUS) Refresher dataset for 782 participants (ages 25-75). Multilevel modeling results revealed that age moderated the relationship between daily time spent on social media and negative affect: for younger adults, on days when they spent more time on social media, they had more negative affect. For older adults, on days when they spent more time on social media, they had less negative affect. Surprisingly, daily time spent on social media was not related to daily positive affect, nor did this relationship differ by age. Implications for future research are discussed with a focus on how social media usage can contribute to daily well-being for adults of different ages.

Racial/Ethnic and Age Differences in Crack Use within Neighborhoods

1995 ◽  
Vol 3 (2) ◽  
pp. 103-111 ◽  
Author(s):  
Howard D. Chilcoat ◽  
Christian G. Schütz
Keyword(s):  
Age Differences ◽  
Crack Use ◽  
Racial Ethnic

scholarly journals MEDIA AS PLATFORMS OF DA’WAH AMONG MUSLIM CONVERTS IN BORNEO

2020 ◽  
Vol 4 (2) ◽  
pp. 78-93
Author(s):  
Salinayanti Salim
Keyword(s):  
Social Media ◽  
Analysis Approach ◽  
Traditional Media ◽  
Sufficient Knowledge ◽  
Interpretive Analysis ◽  
The City ◽  
Different Levels

The study examined the use of media as tools of Muslim converts’ da’wah in Sabah, Sarawak and Brunei. There were two categories of media used in this study; social media (Facebook, YouTube, website, blog) and traditional media (television, radio, book, newspaper). The study interviewed 42 informants who lived in the city areas of Sabah, Sarawak and Brunei. The data obtained was arranged into themes and evaluated using descriptive and interpretive analysis approach. The study revealed that most informants partook in disseminating da’wah in media, primarily social media. The informants mostly ‘share’ the posts of others such as famous quotes and the videos of preachers. There were different levels of frequency of the informants’ posts on social media ranging from always to seldom.  A few informants however, refrained from using media as platforms to disseminate da’wah because they did not want to offend their non-Muslim ‘friends’ on Facebook, and also they believed they did not have sufficient knowledge to disseminate da’wah. 

scholarly journals Analysis and Visualization Considerations for Quantitative Social Science Research Using Social Media Data

2021 ◽  
Author(s):  
J. Bradford Jensen ◽  
Lisa Singh ◽  
Pamela Davis-Kean ◽  
Katharine Abraham ◽  
Paul Beatty ◽  
...  
Keyword(s):  
Social Media ◽  
Visual Analytics ◽  
Social Science Research ◽  
Science Research ◽  
Data Set ◽  
Future Directions ◽  
Social Media Data ◽  
Analysis Techniques ◽  
Media Data ◽  
Different Levels

This is the fifth in a series of white papers providing a summary of the discussions and future directions that are derived from these topical meetings. This paper focuses on issues related to analysis and visual analytics. While these two topics are distinct, there are clear overlaps between the two. It is common to use different visualizations during analysis and given the sheer volume of social media data, visual analytic tools can be important during analysis, as well as during other parts of the research lifecycle. Choices about analysis may be informed by visualization plans and vice versa - both are key in communicating about a data set and what it means. We also recognized that each field of research has different analysis techniques and different levels of familiarity with visual analytics. Putting these two topics into the same meeting provided us with the opportunity to think about analysis and visual analytics/visualization in new, synergistic ways.

Sentiment Analysis of Tweets for Estimating Criticality and Security of Events

2020 ◽  
pp. 293-319 ◽  
Author(s):  
V. Subramaniyaswamy ◽  
R. Logesh ◽  
M. Abejith ◽  
Sunil Umasankar ◽  
A. Umamakeswari
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Sentiment Analysis ◽  
Quantitative Result ◽  
Law Enforcement Agencies ◽  
Social Media Data ◽  
Software Application ◽  
The World ◽  
Media Data ◽  
Different Levels

Social Media has become one of the major industries in the world. It has been noted that almost three fourth of the world's population use social media. This has instigated many researches towards social media. One such useful application is the sentimental analysis of real time social media data for security purposes. The insights that are generated can be used by law enforcement agencies and for intelligence purposes. There are many types of analyses that have been done for security purposes. Here, the authors propose a comprehensive software application which will meticulously scrape data from Twitter and analyse them using the lexicon based analysis to look for possible threats. They propose a methodology to obtain a quantitative result called criticality to assess the level of threat for a public event. The results can be used to understand people's opinions and comments with regard to specific events. The proposed system combines this lexicon based sentimental analysis along with deep data collection and segregates the emotions into different levels to analyse the threat for an event.

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