Overall, 40 percent of U.S. online users aged 18 to 22 years reported feeling addicted to social media. During the April 2019 survey, five percent of respondents from that age group stated that they felt the statement "I am addicted to social media" described them completely.

Hypothesis testing, path coefficients and their 95% Confidence Intervals (CIs) for time interaction.

Objective: The Internet can offer a seemingly safe haven for those being disappointed by relationships in the “offline world”. Although the Internet can provide lonely people with opportunities to seek for help and support online, complete withdrawal from the offline world comes with costs. It is discussed if people can even become “addicted” to the Internet. Of note, meanwhile, many researchers prefer the term Internet use disorder (IUD) instead of using the term “Internet addiction”. To illustrate the importance of one’s own social network supporting a person in everyday life, we investigated, for the first time to our knowledge, how social resources in terms of quality and quantity might represent a buffer against the development of IUD. Furthermore, anxiety related coping styles are investigated as a further independent variable likely impacting on the development of an IUD.Method: In the present work, N = 567 participants (n = 164 males and n = 403 females; Mage = 23.236; SDage = 8.334) filled in a personality questionnaire assessing individual differences in cognitive avoidant and vigilant anxiety processing, ergo, traits describing individual differences in everyday coping styles/modes. Moreover, all participants provided information on individual differences in tendencies toward IUD, the perceived quality of social support received, and the size of their social network (hence a quantity measure).Results: Participants with larger social networks and higher scores in the received social support reported the lowest tendencies toward IUD in our data. A vigilant coping style was positively correlated with tendencies toward IUD, whereas no robust associations could be observed between a cognitive avoidant coping style and tendencies toward IUD. Hierarchical linear regression underlined an important predictive role of the interaction term of vigilance in ego-threat scenarios and perceived quality of social support.Conclusion: The current study not only yields support for the hypothesis that the size of one’s own social network as well as the perceived quality of social support received in everyday life present putative resilience factors against developing IUD. It also supports the approach that special coping styles are needed to make use of the social support offered.

Facebook addiction disorder (FAD) is a proposed mental disorder characterized by excessive use of the social networking website Facebook. Some of the symptoms of FAD include preoccupation with Facebook, compulsive checking of one's Facebook page, and feeling anxious or depressed when not on Facebook. FAD is not an officially recognized mental disorder, but some mental health professionals have suggested that it should be included in future editions of the Diagnostic and Statistical Manual of Mental Disorders (DSM).Facebook addiction is a behavioral addiction derived from Internet addiction that is characterized by excessive, compulsive use of Facebook. Risk factors of Facebook addiction include narcissism, extraversion, neuroticism, and social insecurity.The dependence of Facebook is a behavioral disorder, since it consists of the repetition of some behaviors, even knowing that these can affect the daily routines and mental health. In this case, compulsive attitudes are continuous access to this network or remain for an excessive time making use of it. Due to its similarities, Facebook can be considered a subtype of Internet addiction.Due to its importance as a social network and worldwide phenomenon, it is necessary to establish common characteristics among people who make excessive use of it, since these do not necessarily have to be addicted to other Internet content. Therefore, more and more studies related to Psychology that speak of an addiction to Facebook, reaching to establish symptoms of this disorder and even possible treatments to end this obsession.

Background: Facebook addiction is said to occur when an individual spends an excessive amount of time on Facebook, disrupting one’s daily activities and social life. The present study aimed to find out the level of Facebook addiction in the Nepalese context and briefly discuss the crimes associated with its unintended use. Methods: A descriptive cross-sectional study was conducted in the Department of Forensic Medicine of Lumbini Medical College. The study instrument was the Bergen Facebook Addiction Scale typed into a Google Form and sent randomly to Facebook contacts of the authors. The responses were downloaded in a Microsoft Excel spreadsheet and analyzed using Statistical Package for Social Sciences version 16. Results: The study consisted of 103 Nepalese participants, of which 54 (52.42%) were males and 49 females (47.58%). There were 11 participants (10.68%) who had more than one Facebook account. When different approaches were applied it was observed that 8.73% (n=9) to 39.80% (n=41) were addicted to Facebook. Conclusion: When used properly Facebook has its own advantages. Excessive use is linked with health hazards including addiction and dependency. Students who engage more on Facebook will have less time studying leading to poor academic performance.People need to be made aware of the issues associated with the misuse of Facebook Methods A descriptive cross-sectional study was conducted in Department of Forensic Medicine of Lumbini Medical College after obtaining ethical approval from the Institutional Review Committee vide the letter IRC-LMC 01-G/019.

The Bergen Facebook Addiction Scale (BFAS) is a questionnaire that comprises of six core features of addiction: salience, mood modification, tolerance, withdrawal, conflict, and relapse.1 Each of the six-core features consists of three questions, making a total of 18 questions. The final BFAS retained one question for each core element of addiction. Only the scores for questions 1, 5, 7, 11, 13 and 16 determine the level of Facebook addiction. Each question is scored on a 5-point Likert scale using anchors of 1: Very rarely and 5: Very often. Higher scores indicate greater Facebook addiction.

Participants scoring 4 (often) or 5 (very often) in four out of six questions were considered to be addicted to Facebook. BASF has put forth two scoring schemes to determine Facebook addiction. As per a polythetic scoring scheme, Facebook addiction was determined by a liberal approach, where a score of 3 or more was observed in at least four of six items; whereas using a conservative approach, a score of 3 or above in all six items determined Facebook addiction by a monothetic scoring scheme.

References:

1. Andreassen CS, Torsheim T, Brunborg GS, Pallensen S. Development of a facebook addiction scale. Psychol Rep. 2012;110:501-17.

Hypothesis testing, path coefficients and their 95% Confidence Intervals (CIs).

Introduction: The use of chatbots in healthcare is an area of study receiving increased academic interest. As the knowledge base grows, the granularity in the level of research is being refined. There is now more targeted work in specific areas of healthcare, for example, chatbots for anxiety and depression, cancer care, and pregnancy support. The aim of this paper is to systematically review and summarize the research conducted on the use of chatbots in the field of addiction, specifically the use of chatbots as supportive agents for those who suffer from a substance use disorder (SUD). Methods: A systematic search of scholarly databases using the broad search criteria of (“drug” OR “alcohol” OR “substance”) AND (“addiction” OR “dependence” OR “misuse” OR “disorder” OR “abuse” OR harm*) AND (“chatbot” OR “bot” OR “conversational agent”) with an additional clause applied of “publication date” ≥ January 01, 2016 AND “publication date” ≤ March 27, 2022, identified papers for screening. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used to evaluate eligibility for inclusion in the study, and the Mixed Methods Appraisal Tool was employed to assess the quality of the papers. Results: The search and screening process identified six papers for full review, two quantitative studies, three qualitative, and one mixed methods. The two quantitative papers considered an adaptation to an existing mental health chatbot to increase its scope to provide support for SUD. The mixed methods study looked at the efficacy of employing a bespoke chatbot as an intervention for harmful alcohol use. Of the qualitative studies, one used thematic analysis to gauge inputs from potential users, and service professionals, on the use of chatbots in the field of addiction, based on existing knowledge, and envisaged solutions. The remaining two were useability studies, one of which focussed on how prominent chatbots, such as Amazon Alexa, Apple Siri, and Google Assistant can support people with an SUD and the other on the possibility of delivering a chatbot for opioid-addicted patients that is driven by existing big data. Discussion/Conclusion: The corpus of research in this field is limited, and given the quality of the papers reviewed, it is suggested more research is needed to report on the usefulness of chatbots in this area with greater confidence. Two of the papers reported a reduction in substance use in those who participated in the study. While this is a favourable finding in support of using chatbots in this field, a strong message of caution must be conveyed insofar as expert input is needed to safely leverage existing data, such as big data from social media, or that which is accessed by prevalent market leading chatbots. Without this, serious failings like those highlighted within this review mean chatbots can do more harm than good to their intended audience.