scholarly journals Stance detection with BERT embeddings for credibility analysis of information on social media

2021 ◽  
Vol 7 ◽  
pp. e467
Author(s):  
Hema Karande ◽  
Rahee Walambe ◽  
Victor Benjamin ◽  
Ketan Kotecha ◽  
TS Raghu
Keyword(s):  
Social Media ◽  
Online Social Networks ◽  
Early Stage ◽  
Low Cost ◽  
Easy Access ◽  
Fake News ◽  
Cable News ◽  
Automatic Feature Extraction ◽  
People Search ◽  
Mixed Blessing

The evolution of electronic media is a mixed blessing. Due to the easy access, low cost, and faster reach of the information, people search out and devour news from online social networks. In contrast, the increasing acceptance of social media reporting leads to the spread of fake news. This is a minacious problem that causes disputes and endangers the societal stability and harmony. Fake news spread has gained attention from researchers due to its vicious nature. proliferation of misinformation in all media, from the internet to cable news, paid advertising and local news outlets, has made it essential for people to identify the misinformation and sort through the facts. Researchers are trying to analyze the credibility of information and curtail false information on such platforms. Credibility is the believability of the piece of information at hand. Analyzing the credibility of fake news is challenging due to the intent of its creation and the polychromatic nature of the news. In this work, we propose a model for detecting fake news. Our method investigates the content of the news at the early stage i.e., when the news is published but is yet to be disseminated through social media. Our work interprets the content with automatic feature extraction and the relevance of the text pieces. In summary, we introduce stance as one of the features along with the content of the article and employ the pre-trained contextualized word embeddings BERT to obtain the state-of-art results for fake news detection. The experiment conducted on the real-world dataset indicates that our model outperforms the previous work and enables fake news detection with an accuracy of 95.32%.

Fake News Polarization for Sentiment Analysis

2022 ◽  
pp. 255-263
Author(s):  
Chirag Visani ◽  
Vishal Sorathiya ◽  
Sunil Lavadiya
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Online Social Networks ◽  
Opinion Mining ◽  
Easy Access ◽  
The Internet ◽  
Fake News ◽  
Social Media Networks ◽  
Sentiment Mining

The popularity of the internet has increased the use of e-commerce websites and news channels. Fake news has been around for many years, and with the arrival of social media and modern-day news at its peak, easy access to e-platform and exponential growth of the knowledge available on social media networks has made it intricate to differentiate between right and wrong information, which has caused large effects on the offline society already. A crucial goal in improving the trustworthiness of data in online social networks is to spot fake news so the detection of spam news becomes important. For sentiment mining, the authors specialise in leveraging Facebook, Twitter, and Whatsapp, the most prominent microblogging platforms. They illustrate how to assemble a corpus automatically for sentiment analysis and opinion mining. They create a sentiment classifier using the corpus that can classify between fake, real, and neutral opinions in a document.

scholarly journals Analysis on Fake News Detection Methodologies

2020 ◽  
Vol 9 (1) ◽  
pp. 1572-1575
Keyword(s):  
Social Media ◽  
News Media ◽  
Low Cost ◽  
Past Research ◽  
Online News ◽  
Easy Access ◽  
Accurate Information ◽  
Fake News ◽  
The Real ◽  
Online Social Media

Fake news is a coinage often used to refer to fabricated news that uses eye-catching headlines for increased sales rather than legitimate well-researched news, spread via online social media. Emergence of fake news has been increased with the immense use of online news media and social media. Low cost, easy access and rapid dissemination of information lead people to consume news from social media. Since the spread rate of these contents are faster it becomes difficult to identify the fake news from the accurate information. People can download articles from sites, share the content, re-share from others and by the end of the day the false information has gone far from its original site that it becomes very difficult to compare with the real news. It is a long standing problem that affects the digital social media due to its serious threats of misleading information, it creates an immense impact on the society. Hence the identification of such news are relevant and so certain measures needs to be taken in order to reduce or distinguish between the real and fake news. This paper provides a survey on recent past research papers done on this domain and provides an idea on different techniques on machine learning and deep learning that could help in the identification of fake and real news.

scholarly journals IS FAKE NEWS SPREADING MORE RAPIDLY THAN COVID-19 IN INDIA?

2020 ◽  
Vol 11 (10) ◽  
pp. 208-220 ◽  
Keyword(s):  
Social Media ◽  
High Speed ◽  
Self Regulation ◽  
National Policy ◽  
Easy Access ◽  
Regulatory Body ◽  
Fake News ◽  
Red Tape ◽  
Social Media Platforms ◽  
The Government

Fake news is not a new phenomenon. With the mushrooming of smartphone users and the easy access to the internet, fake news is spreading at very high speed from people to people. Why do people flagrantly believe fake news? Why don‟t people fact-check before sharing information with others? etc., are still some of the questions unanswered. The panic created by fake news during the time of the Covid-19 pandemic outbreak is also not less. Hence, this study aims to focus on understanding people‟s perspectives on controlling the spread of fake news on social media. The respective study is based on quantitative data analysis of the responses of 300 social media users across India, collected online in April 2020 during a nationwide lockdown. The study arrived at a conclusion stating that self-regulation may not deliver a proper effect on controlling the spread of fake news. But, organising effective campaigns to build social media literacy can be one of the potential measures that can be implemented in order to control the spread of fake news over social media platforms. The respondents of the study also agree to bring-in a national policy and a national regulatory body control the spread of fake news over social media platforms. Hence, this particular study can support the Government of India to make decisions to roll out regulatory measures to control the spread of fake news through social media, which is still on the red tape.

scholarly journals An Enhanced Sybil Guard to Detect Bots in Online Social Networks

2021 ◽  
Author(s):  
Nisha P. Shetty ◽  
Balachandra Muniyal ◽  
Arshia Anand ◽  
Sushant Kumar
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Easy Access ◽  
Classifier Combination ◽  
Fake News ◽  
Wide Scale ◽  
Set Up

Sybil accounts are swelling in popular social networking sites such as Twitter, Facebook etc. owing to cheap subscription and easy access to large masses. A malicious person creates multiple fake identities to outreach and outgrow his network. People blindly trust their online connections and fall into trap set up by these fake perpetrators. Sybil nodes exploit OSN’s ready-made connectivity to spread fake news, spamming, influencing polls, recommendations and advertisements, masquerading to get critical information, launching phishing attacks etc. Such accounts are surging in wide scale and so it has become very vital to effectively detect such nodes. In this research a new classifier (combination of Sybil Guard, Twitter engagement rate and Profile statistics analyser) is developed to combat such Sybil nodes. The proposed classifier overcomes the limitations of structure based, machine learning based and behaviour-based classifiers and is proven to be more accurate and robust than the base Sybil guard algorithm.

scholarly journals Location Based Fake News Detection using Machine Learning

2021 ◽  
Vol 9 (VI) ◽  
Author(s):  
Prof. Rohit Nikam
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Exponential Growth ◽  
Easy Access ◽  
Fake News ◽  
Different Types ◽  
Shared Information ◽  
Crime News ◽  
Research Challenge ◽  
Social Media Network

Now a days lots of crime news incremented. In this system we can easy find which type of crime happened in particular city by using pin code. The easy access and exponential growth of the information available on social media network has made it detect to news or information fake or not. The easy dissemination of shared information has added to exponential growth of its falsification. On social media spreading lots of fake news. Thus it has become research challenge to automatically check detected news or information fake or real. Machine learning plays important role to classify the information in different categories. This paper reviews finding different types of crime news in particular city and detected news fake or real. One more feature is predict the future of crimes.

scholarly journals Pengaruh Hoax di Media Sosial Terhadap Preferensi Sosial Politik Remaja di Surabaya

MEDIAKITA ◽  
2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Dinda Marta Almas Zakirah
Keyword(s):  
Social Media ◽  
Public Space ◽  
Qualitative Method ◽  
Freedom Of Expression ◽  
Deterrent Effect ◽  
Easy Access ◽  
Theory Approach ◽  
Fake News ◽  
The Government ◽  
Share Information

Easy access to social media has several impacts that can harm others. Irresponsible people are now abusing the freedom of expression, for example, the spread of fake news or hoaxes. Even though the government has made regulations and threats, it does not provide a deterrent effect for the perpetrators. This hoax news is intentionally created to influence or change the perception of readers. Surabaya is one of the cities where the majority of the population has access to social media, especially for today's youth. This study focuses on how hoax news on social media affects the mindset of adolescents in Surabaya and how adolescents respond to hoax news in social media. This study uses a qualitative method with Habermas's public space theory approach. The results showed that the emergence of hoax news can influence the views of Surabaya teenagers regarding the object being reported, then when spreading fake news or hoaxes, they do not do editing first, and there are several factors that influence teenagers to spread fake news, namely, for fun, share information and think that the news obtained is important news for other readers.Keywords: hoax, social media, public space, preferences

scholarly journals The Environmental Causes of Cancer: A Literature Review

2010 ◽  
Vol 1 (1) ◽  
pp. 60
Author(s):  
Premal Patel ◽  
James Gomes
Keyword(s):  
Health Care ◽  
Social Media ◽  
Health Promotion ◽  
Health Care Providers ◽  
Low Cost ◽  
Age Groups ◽  
Easy Access ◽  
Care Providers ◽  
Positive Health ◽  
Interprofessional Communication

Social media holds considerable potential for health promotion and other health intervention activities, as it addresses some of the limitations in traditional health communication by increasing accessibility, interaction, engagement, empowerment and customization. The use of social media increases the potential for easy access to preventive medicine, interaction with health care providers, interprofessional communication in emergency management, and public health. However, more research is needed to determine its long term effectiveness and to maximize the strategic presence of health organizations on social networking websites. This paper provides encouraging information about the possibilities of using social media to improve access to health information and health care providers, as well as to promote positive health behaviour change. It is essential for health promotion organizations to capitalize on the opportunities provided by social media, in order to modernize strategies to reach all age groups and to tailor programs to current communication trends, all of which are offered at a relatively low cost. 

scholarly journals SOCIAL MEDIA IN INFORMATION WARFARE. ASSAULT WEAPON WITH HIGH RECOIL

2021 ◽  
Vol 17 (1) ◽  
pp. 258-264
Author(s):  
Alin PREDA
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Web 2.0 ◽  
Low Cost ◽  
The Internet ◽  
Information Warfare ◽  
Information Propagation ◽  
Fake News ◽  
Institutional Communication ◽  
Assault Weapon

Beyond the benefits or risks of individual or institutional communication through social media, we must note that it is the perfect environment for fake news and propaganda because of the speed of information propagation, the unfriendly environment for checking sources, algorithms behind social networks and, last but not least, the extremely low cost. In other words, the Internet and web 2.0 have created the favorable framework for the conduct of the war "for minds and hearts", as it can be called the information war waged through social media. Beyond these considerations, the non-regulation of the online domain - the lack of rules, be they deontological, make social media a powerful weapon of attack in this type of war. At the same time, the use of this space by state actors should be done with caution because it involves risks that could result in the loss of the most important action capacity: credibility. This article aims to analyze social media as a tool in information warfare

scholarly journals Unsupervised Fake News Detection on Social Media: A Generative Approach

2019 ◽  
Vol 33 ◽  
pp. 5644-5651 ◽  
Author(s):  
Shuo Yang ◽  
Kai Shu ◽  
Suhang Wang ◽  
Renjie Gu ◽  
Fan Wu ◽  
...  
Keyword(s):  
Social Media ◽  
Research Effort ◽  
Low Cost ◽  
Fake News ◽  
Bayesian Network Model ◽  
Inference Problem ◽  
Crucial Problem ◽  
Negative Impacts ◽  
Collapsed Gibbs Sampling ◽  
Generative Approach

Social media has become one of the main channels for people to access and consume news, due to the rapidness and low cost of news dissemination on it. However, such properties of social media also make it a hotbed of fake news dissemination, bringing negative impacts on both individuals and society. Therefore, detecting fake news has become a crucial problem attracting tremendous research effort. Most existing methods of fake news detection are supervised, which require an extensive amount of time and labor to build a reliably annotated dataset. In search of an alternative, in this paper, we investigate if we could detect fake news in an unsupervised manner. We treat truths of news and users’ credibility as latent random variables, and exploit users’ engagements on social media to identify their opinions towards the authenticity of news. We leverage a Bayesian network model to capture the conditional dependencies among the truths of news, the users’ opinions, and the users’ credibility. To solve the inference problem, we propose an efficient collapsed Gibbs sampling approach to infer the truths of news and the users’ credibility without any labelled data. Experiment results on two datasets show that the proposed method significantly outperforms the compared unsupervised methods.

scholarly journals PEMBERDAYAAN PELAKU USAHA IKAN ASIN MELALUI PEMBUATAN MINI STUDIO DAN PELATIHAN FOTO PRODUK

Al-Khidmat ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 79-85
Author(s):  
Endang Hermawan ◽  
Maya Dewi Kurnia ◽  
Nurul Senja
Keyword(s):  
Social Media ◽  
Community Service ◽  
Market Access ◽  
Low Cost ◽  
Positive Influence ◽  
Easy Access ◽  
New Paradigm ◽  
Business People ◽  
Salted Fish ◽  
Questions And Answers

AbstrakKeberadaan teknologi informasi  memberikan pengaruh positif untuk pelaku usaha. Seperti yang terjadi beberapa tahun belakangan ini, media sosial seperti twitter, facebook, whats app,istagram yang semula digunakan sebagai alat penyampai pesan kini menjadi media memasarkan produk. Alasannya sederhana selain jangkauan internet yang luas, aksesnya mudah, serta biayanya murah. Selain itu media sosial memfasilitasi komunikasi dua arah dengan mengizinkan setiap orang dapat berinteraksi dan berkontribusi melalui percakapan online. Inilah yang menyebabkan media sosial menjadi paradigm baru dalam hal pemasaran produk. Namun demikian kenyataannya masih banyak juga pelaku usaha melakukan pemasaran secara tradisional sehingga  cakupan peluang untuk mendapat omzet yang besar terbatas. Seperti halnya yang dilakukan kaum ibu pelaku usaha ikan asin di Samadikun Cirebon. Mereka masih menggunakan cara tradisional dalam memasarkan produknya. Belum lagi banyak ditemukan kardus bekas  di sekitar rumah warga yang tidak dikelola. Oleh karena itu, tim pengabdian merancang suatu pelatihan dan pendampingan membuat mini studio dari kardus bekas untuk digunakan sebagai media foto produk ikan asin. Pelaku usaha juga dibekali dengan pelatihan teknik foto produk melalui smartphone. Tujuannya meningkatkan keterampilan membuat mini studio, foto produk dan meningkatkan pengetahuan market acces pelaku usaha. Adapun metode kegiatan pengabdian masyarakat dilakukan dengan ceramah, tanya jawab, dan simulasi. Tahapan yang dilakukan mulai dari observasi lapangan, sosialisasi, pelatihan, dan evaluasi. Melalui kegiatan PKM ini pelaku usaha ikan asin dapat meningkatkan omzet penjualan dengan memanfaatkan media social. AbstractThe existence of information technology has a positive influence on business actors. As has happened in recent years, social media such as Twitter, Facebook, WhatsApp, and Instagram, which were originally used as a means of conveying messages, have now become media to market products. The reason is simple apart from wide internet coverage, easy access, and low cost. In addition, social media facilitates two-way communication by allowing everyone to interact and contribute through online conversations. This is what causes social media to become a new paradigm in product marketing. However, in reality there are still many business actors doing traditional marketing so that the scope of opportunities to get large turnover is limited. As has been done by the women who run salted fish business in Samadikun Cirebon. They still use traditional methods in marketing their products. Not to mention that many used cardboard boxes were found around residents' houses that were not managed.Therefore, the community service team designed a training and assistance in making a mini studio from used cardboard to be used as a media for photos of salted fish products. Business actors are also provided with training on product photo techniques via smartphones. The goal is to improve skills in making mini studios, product photos and increase market access knowledge of business people. The method of community service activities is carried out by lectures, questions and answers, and simulations. The stages are carried out starting from field observations, socialization, training, and evaluation. Through this PKM activity, salted fish business actors can increase sales turnover by utilizing social media.

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