scholarly journals Two-Way Social Media Messaging in Postoperative Cataract Surgical Patients: Prospective Interventional Study

2017 ◽  
Vol 19 (12) ◽  
pp. e413 ◽  
Author(s):  
Thuss Sanguansak ◽  
Katharine E Morley ◽  
Michael G Morley ◽  
Kavin Thinkhamrop ◽  
Jaruwan Thuanman ◽  
...  
Keyword(s):  
Social Media ◽  
Surgical Patients ◽  
Interventional Study ◽  
Media Messaging

scholarly journals Multimedia Appendix Removal and Editorial Warning Regarding the MMAS Scale (Two-Way Social Media Messaging in Post-Operative Cataract Surgical Patients: A Prospective Interventional Study)

10.2196/12120 ◽  
2018 ◽  
Vol 20 (12) ◽  
pp. e12120 ◽  
Author(s):  
Thuss Sanguansak ◽  
Katharine E Morley ◽  
Michael G Morley ◽  
Kavin Thinkhamrop ◽  
Jaruwan Thuanman ◽  
...  
Keyword(s):  
Social Media ◽  
Surgical Patients ◽  
Interventional Study ◽  
Media Messaging

scholarly journals The Impact of Social Media & Messaging Application Utilization to the Learning Effectiveness (Higher Education Learning Effectiveness Through Social Media & Messaging Application)

2019 ◽  
Vol 9 (2) ◽  
pp. 2112-2116
Keyword(s):  
Social Media ◽  
Student Performance ◽  
Learning Process ◽  
Positive Impact ◽  
Research Result ◽  
Research Unit ◽  
Learning Effectiveness ◽  
Improve Student Performance ◽  
Media Messaging ◽  
The Impact

Indonesian internet users reached 143,26 Million in 2017, most of them used internet for accessing messaging and social media application. We argue that usage of messaging and social media can give positive impact to the learning process. Our research method using questionnaire to collect data, research conduct in Private University in Jakarta, and student as our research unit analysis. The second year’s research shows that optimization of social media application and messenger services to improve student performance can be done by knowing the most common social media application and messenger services that used by student, socialize the process to increase number of participation, utilization of features of the application, continuous improvement, and communication about method’s success story that can attracts lecturer and students to apply and keep improve the more effective method and learning process. This research result can be use by the lecturer or educator to improve education through social media application and messenger.

Blockchain-based Framework for Reducing Fake or Vicious News Spread on Social Media/Messaging Platforms

2022 ◽  
Vol 21 (1) ◽  
pp. 1-33
Author(s):  
Sakshi Dhall ◽  
Ashutosh Dhar Dwivedi ◽  
Saibal K. Pal ◽  
Gautam Srivastava
Keyword(s):  
Social Media ◽  
Consensus Algorithm ◽  
Machine Learning Techniques ◽  
Stock Exchanges ◽  
Fake News ◽  
Law And Order ◽  
Learning Techniques ◽  
Original Message ◽  
Media Messaging ◽  
Malicious Intent

With social media becoming the most frequently used mode of modern-day communications, the propagation of fake or vicious news through such modes of communication has emerged as a serious problem. The scope of the problem of fake or vicious news may range from rumour-mongering, with intent to defame someone, to manufacturing false opinions/trends impacting elections and stock exchanges to much more alarming and mala fide repercussions of inciting violence by bad actors, especially in sensitive law-and-order situations. Therefore, curbing fake or vicious news and identifying the source of such news to ensure strict accountability is the need of the hour. Researchers have been working in the area of using text analysis, labelling, artificial intelligence, and machine learning techniques for detecting fake news, but identifying the source or originator of such news for accountability is still a big challenge for which no concrete approach exists as of today. Also, there is another common problematic trend on social media whereby targeted vicious content goes viral to mobilize or instigate people with malicious intent to destabilize normalcy in society. In the proposed solution, we treat both problems of fake news and vicious news together. We propose a blockchain and keyed watermarking-based framework for social media/messaging platforms that will allow the integrity of the posted content as well as ensure accountability on the owner/user of the post. Intrinsic properties of blockchain-like transparency and immutability are advantageous for curbing fake or vicious news. After identification of fake or vicious news, its spread will be immediately curbed through backtracking as well as forward tracking. Also, observing transactions on the blockchain, the density and rate of forwarding of a particular original message going beyond a threshold can easily be checked, which could be identified as a possible malicious attempt to spread objectionable content. If the content is deemed dangerous or inappropriate, its spread will be curbed immediately. The use of the Raft consensus algorithm and bloXroute servers is proposed to enhance throughput and network scalability, respectively. Thus, the framework offers a proactive as well as reactive, practically feasible, and effective solution for curtailment of fake or vicious news on social media/messaging platforms. The proposed work is a framework for solving fake or vicious news spread problems on social media; the complete design specifications are beyond scope of the current work and will be addressed in the future.

scholarly journals Going Viral: The 3 Rs of Social Media Messaging during Public Health Emergencies

2020 ◽  
Author(s):  
Bhavini Patel Murthy ◽  
Tanya Telfair LeBlanc ◽  
Sara J. Vagi ◽  
Rachel Nonkin Avchen
Keyword(s):  
Public Health ◽  
Social Media ◽  
Public Health Emergencies ◽  
Media Messaging

scholarly journals Media File Jacking Threats and Protections

2020 ◽  
Vol 9 (4) ◽  
pp. 2021-2025
Keyword(s):  
Social Media ◽  
Mobile Devices ◽  
Security Threat ◽  
Different Types ◽  
The Media ◽  
Media Messaging ◽  
Precautionary Measures ◽  
Audio Files

Media File Jacking (MFJ) is one security threat that affects media file usages within apps. Media files include image files, voice/audio files, video files and document files like pdf, docs, excel sheets, text files, etc. and these files easily find its place within our devices. The primary symptom of a Media File Jacking attack is that it will manipulate the media files, on transferring between users or apps. This type of malwares mainly targets mobile devices. The researchers from Symantec reported that this vulnerability has already found its way into the two top social media messaging apps namely, WhatsApp and Telegram. Not just limited to this, media file jacking can easily target mobile functioning’s whilst managing affected media files and its managed media chat apps. This analysis in detail tries to understand the vulnerabilities that devices are left exposed to via Media file jacking and how can protect Android based mobile devise with the help of existing, upcoming, configurable or programmable features. We try to cover in detail on i.) What Media file jacking attack is? ii.) How this vulnerability is created? iii.) Under which scenario this will happen iv.) What are the different types of attacks? iv.) What are the implications of this attack? v.) what are precautionary measures and how we can mark safe our mobile devices from this attack. This study mainly help to Android media app users and app develops to get a glance about the precautionary measures from media file jacking attack

The First Troll Prerequisite

Cyberwar ◽  
2020 ◽  
pp. 61-69
Author(s):  
Kathleen Hall Jamieson
Keyword(s):  
Social Media ◽  
2016 Election ◽  
Media Messaging ◽  
The U.S

Chapter 3 examines the first prerequisite required for social media or hacked content to influence the U.S. election: was it widespread and extensive enough to make a difference? The chapter first notes that 2016 election-related Russian propaganda was also disseminated overtly via Russia’s state-sponsored RT. Jamieson goes on to detail the extent and reach of the trolls’ covert social media messaging on platforms such as Facebook, Twitter, Instagram, YouTube, Tumblr, Reddit, 9GAG, and more. The chapter discusses the use of troll accounts to create and amplify content across platforms, including Russian-hacked Democratic content released on WikiLeaks, as well as the use of bots on these sites to skew the trending of content.

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