scholarly journals Correction: Characterization of Anorexia Nervosa on Social Media: Textual, Visual, Relational, Behavioral, and Demographical Analysis

10.2196/33447 ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. e33447
Author(s):  
Diana Ramírez-Cifuentes ◽  
Ana Freire ◽  
Ricardo Baeza-Yates ◽  
Nadia Sanz Lamora ◽  
Aida Álvarez ◽  
...  
Keyword(s):  
Social Media ◽  
Anorexia Nervosa

scholarly journals Characterization of Anorexia Nervosa on Social Media: textual, visual, relational, behavioral, and demographical analysis (Preprint)

2020 ◽  
Author(s):  
Diana Ramírez-Cifuentes ◽  
Ana Freire ◽  
Ricardo Baeza-Yates ◽  
Nadia Sanz Lamora ◽  
Aida Álvarez ◽  
...  
Keyword(s):  
Social Media ◽  
Anorexia Nervosa ◽  
Transtheoretical Model ◽  
Signs And Symptoms ◽  
Recovery Process ◽  
Health Behavior Change ◽  
Control Group ◽  
And Control ◽  
Random Control

BACKGROUND Eating disorders are psychological conditions characterized by unhealthy eating habits. Anorexia Nervosa (AN) is defined by the thought of being overweight despite being dangerously underweight. Psychological signs involve emotional and behavioral issues. There is evidence that signs and symptoms can be manifested on social media, where both harmful and beneficial content is shared daily. OBJECTIVE The aim of this work is to characterize Spanish speaking users with Anorexia signs on Twitter through the extraction and inference of behavioral, demographical, relational, and multi-modal data. This analysis is focused on characterizing and comparing users at different stages of the process to overcome the illness, including treatment and full recovery periods considering the Transtheoretical Model of Health Behavior Change (TTM). METHODS We analyze tweets published by users going through different stages of Anorexia. Users are characterized through their writings, posting patterns, relations, and images. We analyze the differences among users going through each stage of the illness and control users (users not suffering from AN). We also analyze the topics of interest of their followees (users followed by them). We perform a clustering approach to distinguish users at an early phase of the illness (precontemplation) from users that recognize that their behavior is problematic (contemplation); and generate models dedicated to the detection of tweets and images related to AN. We consider two types of control users: focused control users that use terms related to anorexia; and random control users. RESULTS We found significant differences between users at each stage of the recovery process (P<.001) and control groups. Users with AN tend to tweet more at night, with a median sleep period tweeting ratio of 0.05 in comparison to random control users (0.04) and focused control users (0.03). Pictures are relevant for the characterization of users. Focused and random control users are characterized by the usage of text on their profile pictures. We also found a strong polarization between focused control users, and users at the first stages of the disorder. There was a strong correlation (Spearman’s coefficient) among the shared interest between users with AN and their followees (0.96). Also, the interests of recovered users and users in treatment were more highly correlated to those corresponding to the focused control group (0.87 for both) in comparison to AN’s users (0.67), suggesting a shift on users’ interest during the recovery process. CONCLUSIONS We have mapped signs of Anorexia Nervosa to the Social media context. These results enforce the findings of related work on other languages and involve a deep analysis on the topics of interest of users at each phase of the disorder. The features and patterns identified provide a basis for the development of detection tools and recommender systems.

scholarly journals Correction: Characterization of Anorexia Nervosa on Social Media: Textual, Visual, Relational, Behavioral, and Demographical Analysis (Preprint)

2021 ◽  
Author(s):  
Diana Ramírez-Cifuentes ◽  
Ana Freire ◽  
Ricardo Baeza-Yates ◽  
Nadia Sanz Lamora ◽  
Aida Álvarez ◽  
...  
Keyword(s):  
Social Media ◽  
Anorexia Nervosa

1052: CHARACTERIZATION OF THE TOP SOCIAL MEDIA INFLUENCERS OVER TIME AT THE CRITICAL CARE CONGRESS

2020 ◽  
Vol 48 (1) ◽  
pp. 505-505
Author(s):  
Viren Kaul ◽  
Sapna Kudchadkar ◽  
Tamas Szakmany ◽  
Neha Dangayach ◽  
Ashley DePriest ◽  
...  
Keyword(s):  
Social Media ◽  
Critical Care ◽  
Over Time

scholarly journals Functional Hypothalamic Amenorrhoea in Adolescent girls as a Result of Stress-Related Conditions in Covid-19 Pandemic Situation

2021 ◽  
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Adolescent Girls ◽  
Physical And Mental Health ◽  
Short Term ◽  
Restricted Movement ◽  
Hormonal Imbalance

Functional hypothalamic amenorrhoea (FHA) is a form of anovulation due to the suppression of HypothalamicPituitary-Ovarian (HPO) axis, not related to identifiable organic cause. FHA is a state of hormonal imbalance related to stress, exercising too much or consuming too few calories. In the unprecedented Covid-I9 Pandemic, there is an upsurge of FHA in adolescent girls. Being confined to ‘stay at home’, the phobia of gaining weight due to restricted movement is often triggering eating disorders like Anorexia Nervosa(AN);indulging in indoor overexercise, stress associated with routine change, exposure and preoccupations with social media in the changed scenario are causing a disruption of HPO axis manifesting as FHA. But FHA has serious short-term and longterm effects on the physical and mental health of the adolescent individuals. The present article aims at reviewing the causes, effects, evaluation and management of FHA in the present scenario. Adolescent girls with FHA should be carefully diagnosed and properly managed to prevent both short-term and long-term deleterious effects with appropriate and timely intervention.

scholarly journals Social Media in Russian Politics

Politologija ◽  
2020 ◽  
Vol 99 (3) ◽  
pp. 64-92
Author(s):  
Alexey Salikov
Keyword(s):  
Social Media ◽  
Political Development ◽  
Political Life ◽  
Political Agenda ◽  
Main Body ◽  
Protest Movements ◽  
Russian Politics ◽  
Use Of Social Media ◽  
The Impact

This paper considers the issue of the influence of social media on politics in Russia. Having emerged in the late 1990s as a tool for informal communication, social media became an important part of Russian socio-political life by the end of 2010s. The past two decades is a sufficient period of time to draw some intermediate conclusions of the impact of social media on the political development of the country. To do this is the main goal of the paper. Its main body consists of three parts. The first chapter gives a general characterization of Russian social media, its significance in terms of influencing the formation of public opinion, public debate, and the socio-political agenda in the country. The second chapter examines the use of social media by the Russian opposition and protest movements. The third chapter analyses the use of social media by the Russian authorities.  

The Ethics of Social Media and Network Security

2015 ◽  
pp. 79-90
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Network Security ◽  
Ethical Dilemmas ◽  
Common Interest ◽  
Advantages And Disadvantages ◽  
Individual Privacy ◽  
Definition Of ◽  
A Company

A definition of modern social media leads to the characterization of advantages and disadvantages of social media in the workplace. The characteristics of social media are: reach, accessibility, immediacy, and permanence paradox. The extent of media invasion of privacy is discussed in this chapter, and ethical dilemmas are raised. Social networks are regarded as the main reasons for the decrease of productivity and other unanticipated confidential problems, which a company may face. Furthermore, the implications of security alerts lead to a dilemma between individual privacy and common interest. Different types of attacks might interfere with an existing functional network. Relevant current issues in Network Security include: authentication, integrity, confidentiality, non-repudiation, and authorization.

E. coliO104:H4: Social media and the characterization of an emerging pathogen

2011 ◽  
Vol 2 (4) ◽  
pp. 189-193 ◽  
Author(s):  
Pat G. Casey ◽  
Colin Hill ◽  
Cormac GM Gahan
Keyword(s):  
Social Media ◽  
Emerging Pathogen

scholarly journals Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 160
Author(s):  
Chathurani Senevirathna ◽  
Chathika Gunaratne ◽  
William Rand ◽  
Chathura Jayalath ◽  
Ivan Garibay
Keyword(s):  
Social Media ◽  
Null Model ◽  
Scale Free Network ◽  
Visualization Technique ◽  
Scale Free ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Free Network ◽  
Novel Method

Influence cascades are typically analyzed using a single metric approach, i.e., all influence is measured using one number. However, social influence is not monolithic; different users exercise different influences in different ways, and influence is correlated with the user and content-specific attributes. One such attribute could be whether the action is an initiation of a new post, a contribution to a post, or a sharing of an existing post. In this paper, we present a novel method for tracking these influence relationships over time, which we call influence cascades, and present a visualization technique to better understand these cascades. We investigate these influence patterns within and across online social media platforms using empirical data and comparing to a scale-free network as a null model. Our results show that characteristics of influence cascades and patterns of influence are, in fact, affected by the platform and the community of the users.

scholarly journals Social media polarization and echo chambers: A case study of COVID-19 (Preprint)

2021 ◽  
Author(s):  
Julie Jiang ◽  
Xiang Ren ◽  
Emilio Ferrara
Keyword(s):  
Social Media ◽  
Health Campaigns ◽  
Factual Information ◽  
Production And Consumption ◽  
Echo Chambers ◽  
Public Health Campaigns ◽  
Effective Public Health ◽  
The U.S

UNSTRUCTURED During 2020, social media chatter has been largely dominated by the COVID-19 pandemic. In this paper, we study the extent of polarization of COVID-19 discourse on Twitter in the U.S. First, we propose Retweet-BERT, a scalable and highly accurate model for estimating user polarity by leveraging language features and network structures. Then, by analyzing the user polarity predicted by Retweet-BERT, we provide new insights into the characterization of partisan users. Right-leaning users, we find, are noticeably more vocal and active in the production and consumption of COVID-19 information. Our analysis also shows that most of the highly influential users are partisan, which may contribute to further polarization. Crucially, we provide empirical evidence that political echo chambers are prevalent, exacerbating the exposure to information in line with pre-existing users' views. Our findings have broader implications in developing effective public health campaigns and promoting the circulation of factual information online.

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