Deep Negative Effects of Misleading Information about COVID-19 on Populations Through Twitter

Chakraoui, Mohamed; Mouhni, Naoual; Elkalay, Abderrafiaa; Nemiche, Mohamed

doi:10.18280/isi.270202

Cited by 2 publications

(3 citation statements)

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“…The analysis results found five pieces of evidence of contact data, each of which contained a name, phone number, and modified time information, which can be seen in Figure 17. Based on Table 2, the results obtained are: Belkasoft was able to find six parameter variables, including account information (1), contacts (5), chats (29), images (6), videos (6), and stickers (1) with a total data of approximately 48. Magnet AXIOM found three parameter variables: account information (1), images (6), and videos ( 6), with a total data of approximately 16.…”

Section: Figure 16 Application Information Using Mobileditmentioning

confidence: 99%

“…Magnet AXIOM found three parameter variables: account information (1), images (6), and videos ( 6), with a total data of approximately 16. Meanwhile, MOBILedit Forensic only found two parameter variables: application information (1) and contacts (5), with a total data of approximately 6.…”

Section: Figure 16 Application Information Using Mobileditmentioning

confidence: 99%

“…The government is attempting to promptly handle the situation by creating a team to manage COVID-19, directly directed by the President. At the same time, the World Health Organization (WHO) declared the first step in combating the pandemic is to hygiene measures, hand washing, and people should respect social distancing rules by at least one meter to stop the transmission of COVID-19 worldwide so that it can slow the spread of the virus pandemic [4,5]. The government also requires the public to use wellfitting masks, always apply hand hygiene rules, and avoid contact with others (physical distancing) [6].…”

Section: Introductionmentioning

confidence: 99%

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Mobile Forensic Analysis of Signal Messenger Application on Android using Digital Forensic Research Workshop (DFRWS) Framework

Riadi¹,

Herman²,

Siregar³

2022

ISI

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Cybercrime is a crime committed using equipment connected to the internet. One of the cybercrimes that occured during the COVID-19 pandemic was the spread hoaxes about the COVID-19 vaccine which caused panic in society. Signal Messenger is one of the social media that has become a trending topic since the number of personal data security issues and the emergence of end-to-end encryption features. This research aims to find digital evidence on Signal Messenger application installed on the perpetrator's Android smartphone. This research uses Belkasoft, Magnet AXIOM, and MOBILedit Forensic Express tools and implements the Digital Forensics Research Workshop (DFRWS) framework in each stage of the research experiment. The research was carried out according to the case scenario with 11 predetermined parameters. Digital evidence is found from the Signal Messenger application: application information, account information, chat, pictures, videos, contacts, and stickers. The results of this research indicate that Belkasoft Evidence Center forensic tool is better, with an accuracy rate of 78.69%, while Magnet AXIOM is 26.23% and MOBILedit Forensic Express is 9.84%. The results of this research can be used as a reference for other forensic researchers/experts in handling similar crime cases on the Signal Messenger application to get better results.

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Section: Figure 16 Application Information Using Mobileditmentioning

confidence: 99%

Section: Figure 16 Application Information Using Mobileditmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mobile Forensic Analysis of Signal Messenger Application on Android using Digital Forensic Research Workshop (DFRWS) Framework

Riadi¹,

Herman²,

Siregar³

2022

ISI

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Influence of Media Framing on Cognition of COVID-19 Vaccine Effectiveness: The Mediating Role of Emotions

et al. 2022

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Objectives: From the perspective of media framing, this paper explores how factual frame and influence frame affect the cognition of vaccine effectiveness among Chinese netizens, and how emotions vary in the process and act on the cognition. Methods: We first discuss the theoretical framework and propose hypotheses. Drawing on the cognitive theory of emotions and the Pleasure- Arousal-Dominance (PAD) model, the scale and questionnaire were designed, and used to test the influence of media framing over the cognition of vaccine effectiveness by 2-factor ANOVA and Bootstrap methods. Results: The proposed hypotheses were verified. The perceived effectiveness of domestic vaccines corresponding to the factual frame group was on average 0.19 (95% CI 0.641-0.642) higher than that of the influence frame. The impact on audience cognition from reports of positive tendency was on average 0.642 (95% CI 0.641-0.642) higher than that of negative tendency. The indirect effect of the media frame on the perceived effectiveness through the mediating variable emotion was -0.0923, at the 95% level. Conclusions: The audience can understand the effectiveness of COVID-19 vaccines better if the factual frame with actual data and authoritative opinions is adopted, rather than reports of the effects of the vaccines on the virus, the vaccinated, and society. Moreover, media reports should be more positive to mitigate the negative emotions, stimulate the arousal of public opinions, and improve audience cognition of report contents, thereby encouraging vaccine uptake.

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Deep Negative Effects of Misleading Information about COVID-19 on Populations Through Twitter

Cited by 2 publications

References 0 publications

Mobile Forensic Analysis of Signal Messenger Application on Android using Digital Forensic Research Workshop (DFRWS) Framework

Mobile Forensic Analysis of Signal Messenger Application on Android using Digital Forensic Research Workshop (DFRWS) Framework

Influence of Media Framing on Cognition of COVID-19 Vaccine Effectiveness: The Mediating Role of Emotions

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