scholarly journals Rumour Detection Models & Tools for Social Networking Sites

2019 ◽  
Vol 9 (2) ◽  
pp. 3291-3296
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Early Stage ◽  
Economic Losses ◽  
Learning Approaches ◽  
The People ◽  
Social Media Platforms ◽  
Fuzzy Logic Technique

Efficient utilization of social networking sites (SNS) had reduced communication delays, at the same time increased rumour messages. Subsequently, mischievous people started sharing of rumours via social networking sites for gaining personal benefits. This falsified information (i.e., rumour) creates misconception among the people of society influencing socio-economic losses by disrupting the routine businesses of private and government sectors. Communication of rumour information requires rigorous surveillance, before they become viral through social media platforms. Detecting these rumour words in an early stage from messaging applications needs to be predicted using robust Rumour Detection Models (RDM) and succinct tools. RDM are effectively used in detecting the rumours from social media platforms (Twitter, Linkedln, Instagram, WhatsApp, Weibo sena and others) with the help of bag of words and machine learning approaches to a limited extent. RDM fails in detecting the emerging rumours that contains linguistic words of a specific language during the chatting session. This survey compares the various RDM strategies and Tools that were proposed earlier for identifying the rumour words in social media platforms. It is found that many of earlier RDM make use of Deep learning approaches, Machine learning, Artificial Intelligence, Fuzzy logic technique, Graph theory and Data mining techniques. Finally, an improved RDM model is proposed in Figure 2, efficiency of this proposed RDM models is improved by embedding of Pre-defined rumour rules, WordNet Ontology and NLP/machine learning approach giving the precision rate of 83.33% when compared with other state-of-art systems.

scholarly journals Public Trolling Detection on Twitter Using Machine Learning

2021 ◽  
Vol 9 (VII) ◽  
pp. 3097-3100
Author(s):  
Miss. Pooja Dilip Dhotre
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Machine Learning Algorithms ◽  
The People ◽  
The World ◽  
Added Benefit ◽  
Current Popularity

Social media websites are among the internet's most far-reaching digital sites. Billions of social network users exist Users' frequent interactions with social networking sites, like Twitter, have a widespread and sometimes unfortunate effect on day-to-day life. Social networking sites make it easy for large amounts of unwanted and unrelated information to spread around the world. Twitter is a popular micro blogging service where users connect with others with similar interests. Because of the current popularity of Twitter, it is vulnerable to public shaming. Recently, Twitter has emerged as a rich source of human-generated information, with the added benefit of connecting you with customers and enabling two-way communication. It is generally accepted that when someone posts a comment in an occurrence, it is likely to humiliate the victim. The fact that shaming users' follower counts increase faster than that of the people who don't use shame is interesting. Using machine learning algorithms, users will be able to identify disrespectful words, as well as the overall negativity of those words, which is displayed in a percentage.

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.

Hyperreality of #BlackLivesMatter Movement on Social Media

2021 ◽  
Vol 37 (3) ◽  
pp. 288-303
Author(s):  
Ghozian Aulia Pradhana ◽  
◽  
Syaifa Tania ◽  
Keyword(s):  
Social Media ◽  
African American ◽  
Content Analysis ◽  
Social Networking ◽  
Social Movement ◽  
Social Networking Sites ◽  
The Other ◽  
The Social ◽  
True Meaning ◽  
Social Media Platforms

This study aims to reveal how hyperreality is reflected in using the #BlackLivesMatter hashtag on social media. The death of an African-American, George Floyd, that involved white police, has sparked outrage and demonstrations in many U.S. states. Issues pertaining to racism sparked in relation to the event, and many people protested demanding justice. The demand for justice then went into a wave of massive global protests both in offline and online realities—the #BlackLivesMatter hashtag was widely used on social media when protests were held. The #BlackLivesMatter hashtag even became a trending topic on several social media platforms, as if everyone was concerned about the issue and aiming for the same purpose. However, we might find several posts that neither reflected nor were related to the case. Some social media users put the hashtag even though their content substance was not related. This phenomenon then led to a condition of hyperreality in questioning reality from a simulation of reality. The method used in this study is content analysis which measures the sentiment of comments on Twitter and Instagram. The study found that social networking sites mobilised online movements even though they were not directly related to the #BlackLivesMatter movement. On the other hand, hashtag activism reduced the true meaning of the social movement. Therefore, the hyperreality in #BlackLivesMatter could not be seen any longer as a form of massive protests demanding justice and ending violence, but merely to gain more digital presence on social media. Keywords: Black lives matter, movement, social media, hyperreality, hashtag activism.

The sharing economy and livestreaming of terror: Co-production of terrorism on social media

2021 ◽  
pp. 65-78
Author(s):  
Yasmin Ibrahim
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Terrorist Attack ◽  
Sharing Economy ◽  
Mass Murder ◽  
Terrorist Attacks ◽  
Recording Device ◽  
Social Media Platforms ◽  
Mass Entertainment

In the xenophobic attack on a mosque in New Zealand, the perpetrator filmed the mass murder through a GoPro recording device attached to his head. The attack was streamed live on social networking sites, including a notorious extremist alt-right forum. This livestreaming of the terrorist attack on social media platforms received global condemnation, but it brought renewed scrutiny to the ‘sharing economy’ online and how terrorist attacks can be made for sharing, reposting, and editing of content by users, circumnavigating the removal of such content. This phenomenon widens the co-production of terror through mass audiences’ interaction in real time, positioning terror as mass entertainment. This chapter examines the architecture of the ‘sharing economy’ online and its significance in the production of terror, as well as the moral and ethical considerations it poses for humanity.

scholarly journals ANALYSIS OF VARIOUS APPROACHES OF ABUSIVE TEXT DETECTION IN ONLINE SOCIAL NETWORKS

2021 ◽  
pp. 124-130
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
English Language ◽  
Research Work ◽  
Accurate Method ◽  
Online Social Networking ◽  
The People ◽  
Language Constructs

Social media is one of the most influential tool for sharing information across different regions among different users .The people sharing their interests in various aspects in online social networking platforms like Facebook, twitter etc. Therefore the usage of hate text steadily increasing. Nowadays it has been reviled unfair behavior of the users in social networking sites. The existence of abusive text on different online social networking platforms and identification of such text is a big challenging task. To understand the complexity of language constructs in different languages is very difficult .Already lot of research work has completed in English language. This paper gives detail analysis of detecting hate text in various languages Hindi, urdu, Arabic, Bengali, Telugu. We incorporated various kinds of ML and DL based algorithms to identify hate text in OSN’s. A review is done related to different classifiers where a comparison made between different models of ML, DL algorithms. Finally finds the accurate method to classify the text is offensive or not by finding the parameters i.e. accuracy and F1score

scholarly journals Recruitment Via Social Media: An Exploratory Study

2016 ◽  
Vol 1 (1) ◽  
pp. 89-93
Author(s):  
Aida Maryani Bt Abd Rashid ◽  
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Exploratory Study ◽  
Job Applicants ◽  
Social Media Platforms ◽  
Online Recruitment ◽  
Use Of Social Media ◽  
The Right ◽  
Recruitment Tool

Recent studies have shown that social media platforms such as Facebook and LinkedIn, have become emergent agents for employer and recruitment Agents to search for potential employees to work for their companies. Employers and recruitment agents are using social networking sites for recruitment as these sites offers a vast database of people information. Social media has made an easy pathway for employers and recruitment agents to narrow down their search to the targeted group of people and hire the best employees, thus elevating online recruitment to greater height. However, there are risks associated with the use of social media as a recruitment tool and users must understand that once they become part of a social media community, their online profiles can be accessed by almost everyone. By knowing the risks and complications of social media, it will be a step in the right direction towards managing the apparent risks. The objective of this paper is to study how social media is used in attracting quality job applicants and examine the risk associated with social media recruitment.

scholarly journals Detection of Suicidal Ideation on Twitter using Machine Learning & Ensemble Approaches

2020 ◽  
Vol 17 (4) ◽  
pp. 1328
Author(s):  
Syed Tanzeel Rabani ◽  
Qamar Rayees Khan ◽  
Akib Mohi UD Din Khanday
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Suicidal Ideation ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Stigma ◽  
Ensemble Methods ◽  
Health Issues ◽  
Mental Health Issues ◽  
The People

Suicidal ideation is one of the most severe mental health issues faced by people all over the world. There are various risk factors involved that can lead to suicide. The most common & critical risk factors among them are depression, anxiety, social isolation and hopelessness. Early detection of these risk factors can help in preventing or reducing the number of suicides. Online social networking platforms like Twitter, Redditt and Facebook are becoming a new way for the people to express themselves freely without worrying about social stigma. This paper presents a methodology and experimentation using social media as a tool to analyse the suicidal ideation in a better way, thus helping in preventing the chances of being the victim of this unfortunate mental disorder. The data is collected from Twitter, one of the popular Social Networking Sites (SNS). The Tweets are then pre-processed and annotated manually. Finally, various machine learning and ensemble methods are used to automatically distinguish Suicidal and Non-Suicidal tweets. This experimental study will help the researchers to know and understand how SNS are used by the people to express their distress related feelings and emotions. The study further confirmed that it is possible to analyse and differentiate these tweets using human coding and then replicate the accuracy by machine classification. However, the power of prediction for detecting genuine suicidality is not confirmed yet, and this study does not directly communicate and intervene the people having suicidal behaviour.

Social Media - A study to explore its Role and Contribution in Promoting Peace

2015 ◽  
Vol 9 (1and2) ◽  
Author(s):  
Mukta Martolia
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Northeast India ◽  
Human Interaction ◽  
Internet Technology ◽  
Religious Groups ◽  
The People ◽  
Use Of Social Media ◽  
The Arab Spring

In today’s world, the internet technology has grown widely, and social media have become a new platform to connect people. We see the use of social media to bridge the divides between different ethnic and religious groups and fostering inter-ethnic dialogues. Recently we have witnessed the Arab Spring, the Jan Lokpal Bill of Anna Hazare, and many such cases that have proved the power of social media. Thus, we can say that this was just the beginning of a wave, an era in the use of social networks to bring people together to fight and protest against violence. The power of social media cannot be ignored today. It has become essential and easy medium to reach a large number of audiences and has become a vital element of today’s life. The social media has proved itself to be a powerful tool for the promotion of peace and has provided not only national but international platform, which allows people to make a positive difference. Social media can be a powerful tool to mobilize people to build peace. With an estimation of around 200 million-plus blogs, more than 120 million YouTube videos and over 500 million Facebook users worldwide, we know that online social networking is a form of human interaction with enormous impact. It is a well-known fact that media affects the minds and behaviors of young people. If media and technology combined together, it can save lives. Thus, the main objective of the study was to evaluate the strength and weaknesses of social media as a tool in facilitating peace in Conflict Situation. The study also tried to analyze and figure out the contribution of social media in promoting peace and preventing violence. For the study various blogs were considered, who were working to bind the people of Northeast India together. Many social networking sites were studied as well to explore many facts.

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