scholarly journals LITERASI MEDIA UNTUK MENGANTISIPASI BERITA PALSU (HOAX) DI MEDIA SOSIAL BAGI MASYARAKAT PULAU TIDUNG KEPULAUAN SERIBU

Sarwahita ◽  
2019 ◽  
Vol 16 (01) ◽  
pp. 68-74
Author(s):  
Aulia Rahmawati ◽  
Krisanjaya Krisanjaya

Community Service is carried out by donating Training to Anticipate Fake News (Hoax) on Social Media, which is a pro-active form and participation of Universities in the Thousand Islands Police Resort program through the local government in overcoming the problem of media literacy (dissemination of hoax news), so that people can distinguish which information is correct and which information is fake or hoax so that the acceleration and effectiveness of development programs can be achieved which is marked by the better quality of public understanding related to false information (hoax) on social media. Media Literacy Training Anticipating Fake News (Hoax) in Social Media uses the Empowering 8 (E8) model approach. Post test results from 26 participants who took part in the training, there was a significant increase in value, namely as many as 26.56 points from the average value of the pre test value of 55 points with a value range of 20 to 70 points, to 74.56 points with a value range of 60 to 80 points Pengabdian kepada masyarakai ini dilaksanakan dengan mengadakan Pelatihan Literasi Media Mengantisipasi Berita Palsu (Hoax) Di Media Sosial, yang merupakan wujud pro aktif  dan partisipasi Perguruan Tinggi terhadap program Polres Kepulauan Seribu melalui pemerintah setempat dalam mengatasi persoalan literasi media (penyebaran berita hoax), agar masyarakat bisa membedakan mana informasi yang benar dan mana informasi yang palsu atau hoax sehingga dapat tercapai akselerasi dan efektivitas program pembangunan yang ditandai oleh semakin baiknya kualitas pemahaman masyarakat terkait informasi yang palsu (hoax) pada media sosial. Pelatihan Literasi Media Mengantisipasi Berita Palsu (Hoax) Di Media Sosial menggunkan pendekatan model Empowering 8 (E8). Hasil post test dari 26 peserta yang mengikuti pelatihan, terdapat peningkatan nilai yang cukup signifikan, yakni sebanyak 26.56 poin dari nilai rata-rata nilai pretest adalah 55 poin dengan rentang nilai 20 s.d 70 poin, menjadi 74.56 poin dengan rentang nilai  60 s.d 80 poin

2018 ◽  
Vol 41 (5) ◽  
pp. 689-707
Author(s):  
Tanya Notley ◽  
Michael Dezuanni

Social media use has redefined the production, experience and consumption of news media. These changes have made verifying and trusting news content more complicated and this has led to a number of recent flashpoints for claims and counter-claims of ‘fake news’ at critical moments during elections, natural disasters and acts of terrorism. Concerns regarding the actual and potential social impact of fake news led us to carry out the first nationally representative survey of young Australians’ news practices and experiences. Our analysis finds that while social media is one of young people’s preferred sources of news, they are not confident about spotting fake news online and many rarely or never check the source of news stories. Our findings raise important questions regarding the need for news media literacy education – both in schools and in the home. Therefore, we consider the historical development of news media literacy education and critique the relevance of dominant frameworks and pedagogies currently in use. We find that news media has become neglected in media literacy education in Australia over the past three decades, and we propose that current media literacy frameworks and pedagogies in use need to be rethought for the digital age.


2019 ◽  
Vol 7 (1) ◽  
pp. 25
Author(s):  
Sabaruddin Sabaruddin

Mathematical analytics Important, analytical skills When students are able to understand analysis in physics learning, students will be able to answer questions with questions that are different from the examples given by the teacher. The aim of studying the increased thinking of participants in cognitive taxonomy analysis in Newton's law materials was approved using problem solving learning models. Hypothesis testing is done by comparing the average value of the ability of the initial test (pre-test) and the average ability of the final test (post-test) of students. The process of testing the hypothesis will test the normality and homogeneity test as a requirement to use parametric statistics, namely by using the t-test. Based on the results of the study obtained a value of tcount (8.25) and ttable value at dk = 42 with a 95% confidence level obtained at 2.02. This shows that tcount> t table. So can it be concluded that the expansion of students' thinking analysis ideas on cognitive taxonomy in the legal material used uses problem solving learning models.


2019 ◽  
Vol 7 (2) ◽  
pp. 64
Author(s):  
Popi Andiyansari

Social media is currenly one of the most used communication media by the community. The number of users of social media is not balanced with an understanding of ethics, danger, and how to counter information wisey. The ITE Law has been implemented since 2012 but does not increase the understanding and limits of users in social media. This study aims to improve public understanding of social media literacy and be able to control potentially unlawful interactions. The research method uses a quantitative approach by measuring the level of understanding of media literacy done twice, namely at the beginning of the study and the end of the study. This research is combine with treatment in the form of : socialization an practical guidance on ethics on social media. The result of this study are in the form of signifivantly increasing understanding of media literacy. The result were also obtained, the respondents did not understand the ethics and laws governing the use of social media.


2019 ◽  
Vol 3 (4) ◽  
pp. 405
Author(s):  
Cahyo Prianto ◽  
Nisa Hanum Harani ◽  
Indra Firmansyah

The development of technology today has been growing rapidly and has an impact on the behavior patterns of people who feel it. The Ministry of Communication and Information (KOMINFO) released a data that of 265 million people of Indonesia, there are around 54% have used internet technology or about 143 million people. In one survey IDN Research Institute said that there are three Social Media that are widely used in Indonesia, namely Facebook, Instagram and Twitter. This study focuses on extracting data in the form of text produced from social media twitter that responds to the account of the RI presidential candidates in the 2019 elections. Sentiment analysis is obtained through tweet classification using sentiment analysis tools such as NRC Lexicon and Bing Lexicon so that information is obtained in the form of positive polarity and negative polarity from community tweets towards the Presidential candidates in the 2019 elections. Using March data before the 2019 election, for candidate 01 Joko Widodo, the NRC Lexicon analysis gave a value of 249 and bing lexicon of 267 with an average value of 0.11, while for candidate 02 Prabowo Subianto the NRC Lexicon analysis gave a value of 195 and bing lexicon of 204 with an average value of 0.085. Using april data after the 2019 election. Candidate 01 Joko Widodo still received a lot of responses from netizens but the sentiment value shifted more negatively compared to candidate 02 Prabowo Subianto. For candidate 01 Joko Widodo the NRC Lexicon analysis gave a value of 17 and bing lexicon of -273 with an average value of -0,246, while for candidate 02 Prabowo Subianto the NRC Lexicon analysis gave a value of 238 and bing lexicon of -73 with an average value of -0.02430939.


2021 ◽  
Vol 14 (2) ◽  
pp. 255
Author(s):  
Andi Luhur Prianto ◽  
Abdillah Abdillah ◽  
Syukri Firdaus ◽  
Muhammad Arifeen Yamad

The global commitment to fighting the pandemic is not only about medical and epidemiological work, but also about how information about the disease is disseminated. The threat of the Covid-19 infodemic is no less dangerous than the pandemic itself. The phenomenon of infodemic has distorted the work of science and reduced public trust in state authorities. This research has identified, mapped, and analyzed official government responses to fake news attacks on social media. This study uses an interpretive-phenomenological approach, related to the spread and belief of fake news about Covid-19 in Indonesia. Data analysis uses the Nvivo-12 Pro application, as an artificial intelligence tool to support data exploration from various sources. The results show that the quality of media literacy, public communication performance, and the effectiveness of government regulations have become part of the challenges in mitigating infodemic. The level of public trust in information from social media contributes to the decline in trust in fake news about Covid-19. Stimulation from the social media news that does not control the belief in myths and false information about Covid-19. Content creators who have produced, posted, and shared on social media channels that are less critical, have an impact on the infodemic situation. The solution is to increase media literacy education and the effectiveness of law enforcement in mitigating the infodemic in Indonesia.


ICCD ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 92-96
Author(s):  
Ni Made Ras Amanda

Information, communication, and technology (ICT) in communities now have been major needs. Media nowadays developed in to new media like social media. Social media have different characteristic compared to mass media. One of the differences is the source or communicator. In social media, the communicator often unknown. The other characteristic is, social media has a massive effect through individual user. Ironically, not all the news and information which spread out in social media is a real news or fake news and hoaxes. In the other hand, social media user didn’t have media literacy to recognize the fake and the real news. to counter that, it needs to build awareness and empowering community of anti-hoax in Denpasar, as the biggest city in Bali. The activities were socialization in diverse age, researched, and campaign in the heart of Denpasar involving the vice governor of Bali Province.


2021 ◽  

Fake news has been the subject of a rapid research response, from a range of fields, given its impact on multiple sectors, the public sphere, and everyday life. The most prominent areas and disciplines contributing research and academic writing on fake news have been journalism, media and cultural studies, media literacy, politics, technology, and education. Whilst the concept is part of a broader concern with misinformation, the term “fake news” came to widespread public attention during the 2016 US presidential election. During the campaign, inaccurate social media posts were spread to large groups of users, a form of “viral” circulation found most prominently on the Facebook platform. A subsequent investigation discovered a large quantity of the posts were generated in the town of Veles in Macedonia, leading to concerns about the automated factory production of messages, including by “bots.” A key development in the use of the term “fake news” was Donald Trump’s adoption of it, following his election, as a negative description of unfavorable media coverage, going so far as to respond to unwanted questions from reporters in press conferences with “you’re fake news.” Fake news is a recent development in a long-established area of persuasive, misleading, or disproportionate mass communication. Research into fake news and analysis of it can be broken down into a set of categories. Political fake news is intended to misinform and influence (a contemporary form of propaganda). Strategic “cyberwarfare” by one nation on another may include spreading false information through fake social media accounts, authored by “bots.” Commercial fake news operates in the form of “clickbait,” whereby advertising revenue is attracted and combined with the economic affordances of user data trading. It is important to recognize that multinational digital corporations integrate this kind of communication into their business models. The distinctive impact of fake news has been to destabilize mainstream news media and provoke a crisis of trust in journalism, contributing to polarized public discourse and an increase in discriminatory communication. Research into fake news and the broader “information disorder” has explored fake news as propaganda, the role of technology, algorithms, and data harnessing in the spreading of fake news; fake news as an existential threat to journalism; fake news as part of the process of undermining or challenging democracy; protection from fake news through verification or “fact-checking” tools and more sustainable, longer term educational approaches to developing resilience to misinformation through media literacy. The term “fake news,” however, has been the subject of disagreement, with journalists, policymakers, educators, and researchers arguing either that it presents an oxymoron as false information cannot be categorized as news as defined by journalistic codes of practice (and thus plays into the hands of those who wish to undermine mainstream media) or that it assumes a “false binary” between real and fake, ignoring the gatekeeping agendas at work in all news production.


2020 ◽  
Vol 1 (2) ◽  
pp. 89-98
Author(s):  
A. Bernadin Dwi Mardiatmi ◽  
◽  
Dahlia Pinem ◽  

Purpose: SME is a business that has very good development potential. SMEs in Cipayung Urban Village, Depok City, West Java have various and high-quality products, but unfortunately amid the Covid-19 pandemic, promotion is hampered. This is due to the lack of partners' knowledge about online promotion by utilizing digital media. The purpose of this community service activity is to provide literacy about the promotional mix through online media which is expected to increase partner income. Method: The method used is educational FGD regarding the promotional mix, training on creating business social media accounts (WhatsApp and Facebook) and marketplace accounts (Tokopedia), as well as promotion strategy assistance. Result: The result of this community service activity is the partners' understanding of the promotional mix has increased. It can be seen from the pretest results with an average value of 5.98, increasing in the post-test results to 6.86. In addition, partners can carry out promotional practices through WhatsApp Status, create a Facebook account and create an Online Store on Tokopedia, then carry out promotions by posting product photos. Conclusion: Mentoring assistance activities can increase partners' knowledge about online marketing and can carry out practices regarding promotion through social media. Keywords: Marketing performance, Literacy promotional mix, SME


2021 ◽  
Author(s):  
Despoina Petsani ◽  
Evdokimos Konstantinidis ◽  
Katerina Katsouli ◽  
Vasiliki Zilidou ◽  
Sofia Balula Dias ◽  
...  

BACKGROUND Ecologically valid evaluations of patient states or wellbeing by means of new technologies is a key issue in contemporary research in silver science. The in-game metrics generated from interaction of users with serious games can potentially be used in predicting or characterizing user’s health and well-being state. There is currently an increasing body of research that investigates the use of measures from interaction with games as digital biomarkers for health and wellbeing OBJECTIVE The research objective of this paper is the prediction of wellbeing digital biomarkers from data collected during the interaction with Serious Games (SGs), using as ground truth the values of standard clinical assessment tests METHODS The dataset is gathered during the interaction of Parkinson’s disease (PD) patients with the webFitForAll exergame platform, a serious games engine designed for promoting physical activity among older adults, patients and vulnerable population. The collected data, referred as in-game metrics, represent body movements captured by a 3D sensor camera and translated into game analytics. Standard clinical tests gathered before and after the long-term interaction with exergames (pre-test vs post-test) were used to provide the user baselines. RESULTS Our results show that in-game metrics can effectively categorize participants into groups of different cognitive and physical states. Different in-game metrics have higher descriptive value for specific tests and can be used to predict a value range for these tests. CONCLUSIONS Our results provide encouraging evidence for the value in-game metrics as digital biomarkers and can boost the analysis of improving in-game metrics in order to obtain more detailed results.


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