scholarly journals KEBIJAKAN PEMERINTAH SURABAYA DALAM MENANGANI BERITA HOAX (Studi kasus di kota Surabaya)

2020 ◽  
Vol 5 (1) ◽  
pp. 67
Author(s):  
Pitri Megasari
Keyword(s):  
Social Media ◽  
Government Policy ◽  
Qualitative Data ◽  
City Government ◽  
Government Policies ◽  
Fake News ◽  
Political Issues ◽  
The Public ◽  
Online Social Media ◽  
False News

Abstract: This paper discusses how government policies in counteracting hoax news in the community through social media. Sometime lately more rampant news about the spread of fake news or hoaxes through online social media such as Twitter, Facebook, Instagram and YouTube. The formulation of the problem here is how the Surabaya government policy to overcome or handle the existence of false news or hoaxes in the Surabaya community. The research method for this type of research is qualitative. The data used are qualitative data, expressed in words or sentences. This false information or hoax was made deliberately because it was to influence the public because of the increasingly widespread stimulant factors such as social and political issues. Social media is now widely used to negative things like one of the accounts that spread hoax information just to increase the popularity of the account or want to be viral by spreading hoax news. Social media makes it easier for us to interact with many people and easier to convey information. But this social media makes a lot of people addicted and many social groups appear that deviate from the norms that exist in the Surabaya city government trying continuously to deal with fake news or hoaxes that are widely spread among the citizens of Surabaya.Keywords: Government Policy, Hoax News, Society

scholarly journals Towards Combating Pandemic-Related Misinformation in Social Media

2021 ◽  
pp. 140-158
Author(s):  
Isa Inuwa-Dutse
Keyword(s):  
Social Media ◽  
Public Discourse ◽  
Preventive Measures ◽  
State Of The Art ◽  
Fake News ◽  
Social Distancing ◽  
The Public ◽  
Toxic Impact ◽  
Online Social Media ◽  
Social Media Platforms

Conventional preventive measures during pandemics include social distancing and lockdown. Such measures in the time of social media brought about a new set of challenges – vulnerability to the toxic impact of online misinformation is high. A case in point is COVID-19. As the virus propagates, so does the associated misinformation and fake news about it leading to an infodemic. Since the outbreak, there has been a surge of studies investigating various aspects of the pandemic. Of interest to this chapter are studies centering on datasets from online social media platforms where the bulk of the public discourse happens. The main goal is to support the fight against negative infodemic by (1) contributing a diverse set of curated relevant datasets; (2) offering relevant areas to study using the datasets; and (3) demonstrating how relevant datasets, strategies, and state-of-the-art IT tools can be leveraged in managing the pandemic.

Post-Truth and Marketing Communication in Technological Age

2020 ◽  
pp. 94-108
Author(s):  
Manpreet Arora
Keyword(s):  
Social Media ◽  
Human Perception ◽  
Marketing Communication ◽  
Marketing Tactics ◽  
Fake News ◽  
The Public ◽  
Corporate World ◽  
Communicative Interactions ◽  
Complex Technology ◽  
False News

The way by which the communication is done depends upon the purpose of the communication. The complex technology-driven environment is affected by a syndrome called post-truth. Post-truth scenario is marred with a situation where there are spread of lies, rumors, propaganda, and deceit. Human perception is distorted by the spread of lies and fake news. We struggle hard to decide whether any communication which we read, or listen to, or share is true or untrue. The strategic advancements aspired by any company are based more or less on the marketing tactics of the product or service. Many strategies of the organisations are based on the communicative interactions of the corporate world with the consumers. The era of post-truth is based on emotions, opinions, and distorted facts. False advertising tactics are hitting the emotions and sentiments of the public at large. Many social media players in the move to curb the menace of false news, misinformation, and false advertisements have opted for a voluntary code of ethics.This chapter analyses the marketing communication in the era of post-truth.

scholarly journals Gender Differences in Tackling Fake News: Different Degrees of Concern, but Same Problems

2021 ◽  
Vol 9 (1) ◽  
pp. 229-238
Author(s):  
Ester Almenar ◽  
Sue Aran-Ramspott ◽  
Jaume Suau ◽  
Pere Masip
Keyword(s):  
Gender Differences ◽  
Spanish Population ◽  
Fake News ◽  
Representative Survey ◽  
False Information ◽  
Traditional Media ◽  
Political Issues ◽  
The Public ◽  
Media Ecosystem ◽  
False News

In the current media ecosystem, in which the traditional media coexists with new players who are able to produce information and spread it widely, there is growing concern about the increasing prominence of fake news. Despite some significant efforts to determine the effects of misinformation, the results are so far inconclusive. Previous research has sought to analyze how the public perceive the effects of disinformation. This article is set in this context, and its main objective is to investigate users’ perception of fake news, as well as identify the criteria on which their recognition strategies are based. The research pays particular attention to determining whether there are gender differences in the concern about the effects of fake news, the degree of difficulty in detecting fake news and the most common topics it covers. The results are based on the analysis of a representative survey of the Spanish population (N = 1,001) where participants were asked about their relationship with fake news and their competence in determining the veracity of the information, and their ability to identify false content were assessed. The findings show that men and women’s perception of difficulty in identifying fake news is similar, while women are more concerned than men about the pernicious effects of misinformation on society. Gender differences are also found in the topics of the false information received. A greater proportion of men receive false news on political issues, while women tend to more frequently receive fake news about celebrities.

scholarly journals Fake News Detection in Machine Learning Hybrid Model

2020 ◽  
Vol 9 (1) ◽  
pp. 2668-2671
Keyword(s):  
Neural Network ◽  
Research Work ◽  
Fake News ◽  
Short Term ◽  
Political Issues ◽  
The Public ◽  
The People ◽  
Voting Decisions ◽  
False News ◽  
Gated Recurrent Unit

Now a day's prediction of fake news is somewhat an important aspect. The spreading of fake news mainly misleads the people and some false news that led to the absence of truth and stirs up the public opinion. It might influence some people in the society which leads to a loss in all directions like financial, psychological and also political issues, affecting voting decisions during elections etc. Our research work is to find reliable and accurate model that categorize a given news in dataset as fake or real. The existing techniques involved in are from a deep learning perspective by Recurrent Neural Network (RNN) technique models Vanilla, Gated Recurrent Unit (GRU) and Long Short-Term Memories (LSTMs) by applying on LAIR dataset. So we come up with a different plan to increase the accuracy by hybridizing Decision Tree and Random Forest.

scholarly journals A Practical Guide to Doing Behavioral Research on Fake News and Misinformation

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Gordon Pennycook ◽  
Jabin Binnendyk ◽  
Christie Newton ◽  
David G. Rand
Keyword(s):  
Social Media ◽  
Behavioral Research ◽  
Fake News ◽  
Short Term ◽  
Political Issues ◽  
News Content ◽  
Current Affairs ◽  
False News ◽  
News Headlines ◽  
Selection Of

Coincident with the global rise in concern about the spread of misinformation on social media, there has been influx of behavioral research on so-called “fake news” (fabricated or false news headlines that are presented as if legitimate) and other forms of misinformation. These studies often present participants with news content that varies on relevant dimensions (e.g., true v. false, politically consistent v. inconsistent, etc.) and ask participants to make judgments (e.g., accuracy) or choices (e.g., whether they would share it on social media). This guide is intended to help researchers navigate the unique challenges that come with this type of research. Principle among these issues is that the nature of news content that is being spread on social media (whether it is false, misleading, or true) is a moving target that reflects current affairs in the context of interest. Steps are required if one wishes to present stimuli that allow generalization from the study to the real-world phenomenon of online misinformation. Furthermore, the selection of content to include can be highly consequential for the study’s outcome, and researcher biases can easily result in biases in a stimulus set. As such, we advocate for pretesting materials and, to this end, report our own pretest of 224 recent true and false news headlines, both relating to U.S. political issues and the COVID-19 pandemic. These headlines may be of use in the short term, but, more importantly, the pretest is intended to serve as an example of best practices in a quickly evolving area of research.

scholarly journals A practical guide to doing behavioural research on fake news and misinformation

2020 ◽  
Author(s):  
Gordon Pennycook ◽  
Jabin Binnendyk ◽  
Christie Newton ◽  
David Gertler Rand
Keyword(s):  
Social Media ◽  
Fake News ◽  
Short Term ◽  
Political Issues ◽  
News Content ◽  
Current Affairs ◽  
Behavioural Research ◽  
False News ◽  
News Headlines ◽  
Selection Of

Coincident with the global rise in concern about the spread of misinformation on social media, there has been influx of behavioural research on so-called “fake news” (fabricated or false news headlines that are presented as if legitimate) and other forms of misinformation. These studies often present participants with news content that varies on relevant dimensions (e.g., true v. false, politically consistent v. inconsistent, etc.) and ask participants to make judgments (e.g., accuracy) or choices (e.g., whether they would share it on social media). This guide is intended to help researchers navigate the unique challenges that come with this type of research. Principle among these issues is that the nature of news content that is being spread on social media (whether it is false, misleading, or true) is a moving target that reflects current affairs in the context of interest. Steps are required if one wishes to present stimuli that allow generalization from the study to the real-world phenomenon. Furthermore, the selection of content to include can be highly consequential for the study’s outcome, and researcher biases can easily result in biases in a stimulus set. As such, we advocate for pretesting materials and, to this end, report our own pretest of 225 recent true and false news headlines, both relating to U.S. political issues and the COVID-19 pandemic. These headlines may be of use in the short term, but, more importantly, the pretest is intended to serve as an example of best practices in a quickly evolving area of research.

scholarly journals KOMUNIKASI DALAM PERSEPSI MASYARAKAT TENTANG KEBIJAKAN PEMERINTAH DIMASA PANDEMI

Kinesik ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 158-167
Author(s):  
Chontina Siahaan ◽  
Donal Adrian
Keyword(s):  
Government Policy ◽  
Qualitative Data ◽  
Public Perceptions ◽  
City Government ◽  
Communication Process ◽  
The Public ◽  
The People ◽  
Depth Interview ◽  
The Government ◽  
Central Sulawesi

The government's strategy in preventing the spread of COVID-19 is to implement policies regarding the injection of the corona 19 vaccine to the entire community. This study aims to analyze and describe the communication process in public perceptions of the COVID-19 vaccine policy by the Palu City government. The research method used qualitative. Data collection techniques, namely observation and in-depth interview. The results showed that the government policy regarding the COVID-19 vaccine is a stimulus that can generate perceptions from the public as a target. Based on the perception that the people in Palu City, Central Sulawesi, responded well to the policy of injecting the COVID-19 vaccine for a healthy and prosperous Indonesia.  

scholarly journals Fake News Detector in Online Social Media

2019 ◽  
Vol 9 (1S4) ◽  
pp. 58-60
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Fake News ◽  
The Public ◽  
Online Social Media ◽  
Learning Techniques ◽  
State Of Art

Spreading of fake news in online social media is a major nuisance to the public and there is no state of art tool to detect whether a news is a fake or an original one in an automated manner. Hence, this paper analyses the online social media and the news feeds for detection of fake news. The work proposes solution using Natural Language Processing and Deep Learning techniques for detecting the fake news in online social media.

scholarly journals Contents of Fake News on Social Media: Confrontation Means and Methods of Verification; A Field/Analytic Study

2021 ◽  
Author(s):  
وفاق حافظ بركع
Keyword(s):  
Social Media ◽  
Technological Development ◽  
Social Medium ◽  
Fake News ◽  
The Public ◽  
The Social ◽  
Information And Communication ◽  
Political Security ◽  
False News ◽  
The Masses

paper studies the contents of the fake news shared by the social media users. Fake pieces of news are not the creation of this time. They have existed since the appearance of the communication media like journalism, television and radio. Those traditional media, however, sought not to circulate any false news that might affect their credibility, and hence their relationship to the masses. After the technological development that took place in the fields of information and communication, and then the emergence of the Internet, false pieces of news have started to spread more rapidly and widely than before due to the modern technological development in communicating and sharing information. The receiver has started to play the role of the journalist in communicating the events and what takes place around him. He has started to share and circulate the news on the social media for personal objectives or due to being backed by a specific body to affect the public opinion. The paper is a descriptive study. A survey is used in the field and analytical studies. In the two studies, the researcher tries to identify the most important contents formed in the fake news that are shared on the social media and identify the characteristics of these pieces of news for the users. The researcher also attempts to find the means to face the fake news and how to verify its credibility. She has arrived at several conclusions, the most important of which is that most of the contents shared by the users of the social media, which have been revealed in both the analysed sites, are political, security, and then varied contents, such as natural disasters, modern technologies, historical events, entertainment and satire..As for the sites that contribute in sharing and circulating the news, Facebook, in spite of being the most important source of news for the sample, was the most prominent social medium where fake pieces of news were shared and circulated.

Identity concerns drive belief: The impact of partisan identity on the belief and dissemination of true and false news

2018 ◽  
Author(s):  
Andrea Pereira ◽  
Jay Joseph Van Bavel ◽  
Elizabeth Ann Harris
Keyword(s):  
Social Media ◽  
Political System ◽  
Political Identity ◽  
Social Goals ◽  
Fake News ◽  
Political Beliefs ◽  
System P ◽  
False News ◽  
Democrats And Republicans ◽  
The Impact

Political misinformation, often called “fake news”, represents a threat to our democracies because it impedes citizens from being appropriately informed. Evidence suggests that fake news spreads more rapidly than real news—especially when it contains political content. The present article tests three competing theoretical accounts that have been proposed to explain the rise and spread of political (fake) news: (1) the ideology hypothesis— people prefer news that bolsters their values and worldviews; (2) the confirmation bias hypothesis—people prefer news that fits their pre-existing stereotypical knowledge; and (3) the political identity hypothesis—people prefer news that allows their political in-group to fulfill certain social goals. We conducted three experiments in which American participants read news that concerned behaviors perpetrated by their political in-group or out-group and measured the extent to which they believed the news (Exp. 1, Exp. 2, Exp. 3), and were willing to share the news on social media (Exp. 2 and 3). Results revealed that Democrats and Republicans were both more likely to believe news about the value-upholding behavior of their in-group or the value-undermining behavior of their out-group, supporting a political identity hypothesis. However, although belief was positively correlated with willingness to share on social media in all conditions, we also found that Republicans were more likely to believe and want to share apolitical fake new. We discuss the implications for theoretical explanations of political beliefs and application of these concepts in in polarized political system.

Sign in / Sign up

Export Citation Format

Share Document