scholarly journals PREDICTING DEPRESSION LEVEL USING SOCIAL MEDIA POSTS

2021 ◽  
Vol 8 (12) ◽  
pp. 234-237
Author(s):  
Hrishabh Patidar ◽  
Jayesh Umre
Keyword(s):  
Social Media ◽  
Mental Illness ◽  
Social Networking ◽  
Social Networking Sites ◽  
Analysis Tool ◽  
Work Study ◽  
Depression Level ◽  
Day By Day

Depression is a major concern snowballing day by day. There can be various causes of depression but mental illness is the main problem. A lot of people suffer from depression and a very few of them go through treatment. One out of six people between ages 10 to 19 years are suffering from depression. At its worst, depression can lead to suicide. Depression reduces user’s ability to do work study or socialize. One solution to this problem is study of individual’s behaviour through social media. We could know a person’s opinion, thinking, mood etc. through his social media. These attributes of user can be collected from different social networking sites like Instagram, Facebook, and Twitter etc. Social networking sites can be used as an analysis tool to predict depression level. Our projects aim is to gather information of user from their social media posts and predict his depression level.

scholarly journals Predicting Election Results using NLTK

2019 ◽  
Vol 9 (1) ◽  
pp. 4519-4529
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Networking ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Text Processing ◽  
Research Work ◽  
Supervised Machine Learning ◽  
Analysis Tool ◽  
Machine Learning Classification

In today’s world, people are usually using social media networks for trying to communicate with other users and for sharing information across the world. The online social networking sites have become considerable tools and are providing a common medium for a number of users to communicate with each other. Twitter is the most prominent microblogging website and one among the social networking sites that grow on a daily basis. Social media incorporates an extensive amount of data in the form of tweets, forums, status updates, comments, etc. in an attempt to automatically process and analyze these data, applications can rely on analysis approaches such as sentiment analysis. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets), to obtain user's opinions and sentiments. Natural Language Toolkit (NLTK) is a library based on machine learning methods in python & sentiment analysis tool. Which provides the base for text processing and classification? The research work proposed a machine learning-based classifier to extract the tweets on elections and analyze the opinion of the tweeples (people who use twitter). The tweets can be categorized as positive, negative and neutral towards a particular politician. We classify these processed tweets using a supervised machine learning classification approach. The classifier used to classify the tweets as positive, negative or neutral is Naive Bayes Classifier. The classifier is trained with tweets bearing a distinctive polarity. The percentage of positive and negative tweets is then measured and graphically represented.

The role of social networking sites in the revolution of 25 January 2011 Egyptian

2019 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
Qassim Alwan Saeed ◽  
Khairallah Sabhan Abdullah Al-Jubouri
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Arab Spring ◽  
The World ◽  
The Revolution

Social media sites have recently gain an essential importance in the contemporary societies، actually، these sites isn't simply a personal or social tool of communication among people، its role had been expanded to become "political"، words such as "Facebook، Twitter and YouTube" are common words in political fields of our modern days since the uprisings of Arab spring، which sometimes called (Facebook revolutions) as a result of the major impact of these sites in broadcasting process of the revolution message over the world by organize and manage the revolution progresses in spite of the governmental ascendance and official prohibition.

scholarly journals Preserving professional identities, behaviors, and values in digital professionalism using social networking sites; a systematic review

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaista Salman Guraya ◽  
Salman Yousuf Guraya ◽  
Muhamad Saiful Bahri Yusoff
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Social Networking ◽  
Health Professionals ◽  
Social Networking Sites ◽  
Healthcare Professionals ◽  
Professional Identities ◽  
Professional Behaviors ◽  
Digital Era ◽  
Use Of Social Media

Abstract Background Despite a rapid rise of use of social media in medical disciplines, uncertainty prevails among healthcare professionals for providing medical content on social media. There are also growing concerns about unprofessional behaviors and blurring of professional identities that are undermining digital professionalism. This review tapped the literature to determine the impact of social media on medical professionalism and how can professional identities and values be maintained in digital era. Methods We searched the databases of PubMed, ProQuest, ScienceDirect, Web of Science, and EBSCO host using (professionalism AND (professionalism OR (professional identity) OR (professional behaviors) OR (professional values) OR (professional ethics))) AND ((social media) AND ((social media) OR (social networking sites) OR Twitter OR Facebook)) AND (health professionals). The research questions were based on sample (health professionals), phenomenon of interest (digital professionalism), design, evaluation and research type. We screened initial yield of titles using pre-determined inclusion and exclusion criteria and selected a group of articles for qualitative analysis. We used the Biblioshiny® software package for the generation of popular concepts as clustered keywords. Results Our search yielded 44 articles with four leading themes; marked rise in the use of social media by healthcare professionals and students, negative impact of social media on digital professionalism, blurring of medical professional values, behaviors, and identity in the digital era, and limited evidence for teaching and assessing digital professionalism. A high occurrence of violation of patient privacy, professional integrity and cyberbullying were identified. Our search revealed a paucity of existing guidelines and policies for digital professionalism that can safeguard healthcare professionals, students and patients. Conclusions Our systematic review reports a significant rise of unprofessional behaviors in social media among healthcare professionals. We could not identify the desired professional behaviors and values essential for digital identity formation. The boundaries between personal and professional practices are mystified in digital professionalism. These findings call for potential educational ramifications to resurrect professional virtues, behaviors and identities of healthcare professionals and students.

Older and Younger Job Seekers' Impression Management on LinkedIn

2021 ◽  
Vol 20 (2) ◽  
pp. 61-74
Author(s):  
Franciska Krings ◽  
Irina Gioaba ◽  
Michèle Kaufmann ◽  
Sabine Sczesny ◽  
Leslie Zebrowitz
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Impression Management ◽  
Social Networking Sites ◽  
The Internet ◽  
Job Seekers ◽  
Self Presentation ◽  
Job Offers ◽  
Research Show

Abstract. The use of social networking sites such as LinkedIn in recruitment is ubiquitous. This practice may hold risks for older job seekers. Not having grown up using the internet and having learned how to use social media only in middle adulthood may render them less versed in online self-presentation than younger job seekers. Results of this research show some differences and many similarities between younger and older job seekers' impression management on their LinkedIn profiles. Nevertheless, independent of their impression management efforts, older job seekers received fewer job offers than younger job seekers. Only using a profile photo with a younger appearance reduced this bias. Implications for the role of job seeker age in online impression management and recruitment are discussed.

scholarly journals Usage of Social Media by Leading Political Parties in General Election 2018 of Pakistan

2020 ◽  
Vol V (III) ◽  
pp. 32-43
Author(s):  
Ashraf Iqbal ◽  
Kishwer Perveen ◽  
Saima Waheed
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Political Parties ◽  
Social Networking ◽  
Political Party ◽  
Social Networking Sites ◽  
Dominant Party ◽  
The Social ◽  
Setting Theory ◽  
Social Media Tools

Social Networking sites are highly used for political proposes. In this study, the research tried to search the usage of social media by political parties during elections campaigns 2018 in Pakistan. The researcher applied the agenda-setting theory to link the social media posts of these political parties' pages and content analysis research technique for analyzing the variables. It was concluded from the that these social media are highly used for mobilizing voters where the users of these mediums not only see these posts but also like, comment and share for responding about what is uploaded on these social media pages by the representatives of political parties. It is concluded that from three trending political parties, PTI emerged as the most dominant party by using these social media tools, by uploading a maximum number of posts, by mobilizing voters to vote for a specific political party.

scholarly journals The Use of Social Media in Public Relations at Non-Governmental Organisations in South Africa

2018 ◽  
Vol 10 (6(J)) ◽  
pp. 150-161
Author(s):  
G. Nchabeleng ◽  
CJ. Botha ◽  
CA Bisschoff
Keyword(s):  
South Africa ◽  
Social Media ◽  
Public Relations ◽  
Social Networking ◽  
Social Networking Sites ◽  
Instant Messaging ◽  
Public Relations Practitioners ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
The Way

Social media can be a useful tool in public relations in non-governmental organisations (NGOs), but do NGOs make use of social media in their quest for service delivery in South Africa? Social networking sites, blogging, email, instant messaging, and online journals are some of the technological changes that changed the way interaction between people and how they gather information. Although social media is mainly used for interactive dialogue and social interaction, the private sector soon realised that the web-based technologies (especially Facebook and Twitter) could also be a competitive business tool. Non-governmental organisations (NGOs) soon followed suit however at a slower pace than the general communication growth rate of social media in South Africa. This article examines if social networking sites have any impact on public relations practices of NGOs in South Africa – an environment where both customers and employees still struggle to take full advantage of social media. The critical literature findings increase the understanding of the current and future challenges of social media use in public relations at NGOs in South Africa. The study explores the main differences between traditional and social media, how social media is redefining public relations role, and shed some light on defining public relations practices, identify the uses, limitations and benefits of social media by public relations practitioners in NGOs. Recommendations for future communication research are given. Based on the literature, a qualitative research design collected data using semi-structured, individual interviews. The results revealed that social media platforms such as Facebook do have an effect, and even changed the way in which NGOs communicate. The study also revealed that social media certainly has an impact on public relations relationships. This means that it has become crucial that public relations practitioners at NOGs embrace and take advantage of social media, and that they should also invest in proper electronic platforms to reap the benefits of improved communication internally and externally.

scholarly journals Impact of Social Media Visuals on People’s Visual Communication during Social Movements in Bangladesh

2019 ◽  
pp. 9-18
Author(s):  
MD Saiful Alam Chowdhury ◽  
Monira Begum ◽  
Shaolin Shaon
Keyword(s):  
Social Media ◽  
Social Movements ◽  
Social Networking ◽  
Social Networking Sites ◽  
Visual Communication ◽  
Online News ◽  
Substantial Role ◽  
The Past ◽  
Popular View ◽  
The Impact

The past decade has seen an armorial growth of the influence of social media on many aspects of people’s lives. Social networking sites, especially Facebook, play a substantial role in framing popular view through its contents. This article explores the impact of visuals, especially photos and videos, published in social media during social movements. Importantly that some visuals received attention in social media during agitations which later got featured or become news in print, electronic and online news portal media as well. Some of the visuals later proved to be edited or fabricated contents which created confusion among participants in this research and beyond. The confusion has contributed to the acceleration or shrinkage of the movement in question in many cases. The center of this article is to examine how social media visuals influence people’s visual communication during social movements. Additionally, it digs out the user’s activity on social media during movements.

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