Identifying Fake News from the Variables that Governs the Spread of Fake News

Several researchers have attempted to investigate the processes that govern and support the spread of fake news. This paper collates and identifies these variables. This paper then categorises these variables based on three key players that are involved in the process: Users, Content, and Social Networks. The authors conducted an extensive review of the literature and a reflection on the key variables that are involved in the process. The paper has identified a total of twenty-seven variables. Then the paper presents a series of tasks to mitigate or eliminate these variables in a holistic process that could be automated to reduce or eliminate fake news propagation. Finally, the paper suggests further research into testing the method in lab conditions

Facebook Fake Profile Identification: Technical and Ethical Considerations

March 2019, Facebook updated its security procedures requesting ID verification for people who wish to advertise or promote political posts of adverts. The announcement received little media coverage even though it is an interesting development in the battle against Fake News. This paper reviews the current literature on different approaches in the battle against the spread of fake news, including the use of computer algorithms, A.I, and introduction of ID checks. Critical to the evaluation is consideration into ID checks as a means to combat the spread of Fake News. To understand the process and how it works, the team undertook a social experiment combined with reflective analysis to better understand the impact of ID check policies when combined with other standards policies of a typical platform. The analysis identifies grave concerns. In a wider context, standardising such policy will leave political activists in countries vulnerable to reprisal from authoritarian regimes. Other impacts include people who use fake names to protect the identity of adopted children or to protect anonymity from abusive partners. The analysis also points to the fact that troll arms could bypass these checks rendering the use of ID checks less effective in the battle to combat fake news. The analysis also points to the fact that troll arms could bypass these checks rendering the use of ID checks less effective in the battle to combat fake news

Towards Sustainable Production Processes Reengineering: Case Study at INCOM Egypt

INCOM Egypt has undergone automation in some processes where critical aspects of its operations are transformed and automated. This paper presents an overview of INCOM Egypt processes using Ould Riva and analyses the process of ‘handling a product’. It aims to demonstrate effective automation of the production of wires and cables process accompanied to Industry 4.0 while considering environmental and economic sustainability goals that were inhibited by COVID-19 restrictions. Ould’s Riva method is used to analyse the production process of wires and cables to propose improvements for automating the process. Business process modelling is utilised to study the processes for clearer understating. The flow of information within the process is also analysed to integrate the production process with other processes and supply chains, which helps to identify which production activities can be automated and mainstreamed into the information flow to achieve environmental and economic sustainability. The context of INCOM Egypt, as a case study, is presented along with the Riva model of its operations. The paper identifies the before, i.e., As-Is process, and after, i.e., To-Be Process, automation of the ‘handle a product’ process using the Role Activity Diagram (RAD). The process involved redesigning and improving different activities to increase resource-use efficiency to participate in achieving the goals of sustainability. The focus of this paper is to investigate the negative impact of COVID-19 on sustainability and to examine the accomplishments of process automation of wire production towards environmental and economic sustainability. The results of the research reveal a relationship between business process modelling and sustainability. Moreover, automation of processes (Industry 4.0) is found to reduce the negative effect of COVID-19 on production. A triangulation between process modelling, process automation (Industry 4.0), and sustainability was determined. Each one is reinforcing and impacting one another. The RAD model demonstrates that automation of the activities in the process reduces waste, time, cost, and redundant processes as factors of sustainability, which may also help to lessen the unfavorable effects of the pandemic. The results proved generalisation on other organisations in the same line of business

E-university delivery model: handling the evaluation process

Purpose The setting up of e-university has been slow-going. Much of e-university slow progress has been attributed to poor business models, branding, disruptive technologies, lack of organisational structure that accommodates such challenges, and failure to integrate a blended approach. One of the stumbling blocks, among many, is the handling of evaluation process. E-university models do not provide much automation compared to the original brick-and-mortar classroom model of delivery. The underlining technologies may not have been supportive; however, the conditions are changing, and more evaluation tools are becoming available for academics. The paper aims to discuss these issues. Design/methodology/approach This paper identifies the extent of current online evaluation processes. In this process, the team reviews the case study of a UK E-University using Adobe Connect learning model that mirrors much of the physical processes as well as online exams and evaluation tools. Using the Riva model, the paper compares the physical with the online evaluation processes for e-universities to identify differences in these processes to evaluate the benefits of e-learning. As a result, the models can help us to identify the processes where improvements can take place for automating the process and evaluate the impact of this change. Findings The paper concludes that this process can be significantly shortened and provide a fairer outcome but there remain some challenges for e-university processes to overcome. Originality/value This paper examines the vital quality assurance processes in academia as more universities move towards process automation, blended or e-university business models. Using the case study of Arden University online distance learning, the paper demonstrates, through modelling and analysis that the process of online automation of the evaluation process is achieved with significant efficiency

Introducing B2i2C: an M-commerce model for SMEs

SMEs represent a major part of the world economy, however they face major challenges in breaking into electronic commerce and specifically mobile commerce. This paper studies the transition to m-commerce in the context of SMEs in the UK and Kuwait. By conducting a review of the top downloaded applications from four application stores and reflecting on the most successful breakthroughs, the authors identify a business model for SMEs. This model is introduced as B2i2C. In this model, intermediaries businesses provide value and opportunities for SMEs as well as allowing consumers to better compare and customize products or services. This outcome suggests that the presence of an intermediary is not just a specific case for a specific region; it could be a generalized world wide beyond the UK and Kuwait

The Spreading of Misinformation online: 3D Simulation

Social media is becoming the de-facto platform for the dissemination of information as research suggests more Internet users are using social media as their main source of news. In this model, the spread of unverified information is becoming a common place where some could share misinformation as fact. News sharing on social media lacks the traditional verification methods used by professional media. In previous publications, the authors presented a model that shows the extent of the problem thus suggesting the design of a tool that could assist users to authenticate information using a conceptual approached called `right-click authenticate' button. A two-dimensional simulation provided bases for a proof-of-concept and identification of key variables. This paper uses Biolayout three-dimensional modelling to expand their simulations of different scenarios. Using the given variables and values, this paper presents a better understanding of how misinformation travels in the spatial space of social media. The findings further confirmed that the approach of `right-click authenticate' button would dramatically cut back the spread of misinformation online

Spread of Misinformation Online: Simulation Impact of Social Media Newsgroups

Academic research shows increase reliance of online users on social media as a main source of news and information. Researchers found that young users are particularly inclined to believe what they read on social media without adequate verification of the information. There has been some research to study the spread of misinformation and identification of key variables in developing simulations of the process. Current literature on combating misinformation focuses on individuals and neglects social newsgroups-key players in the dissemination of information online. Using benchmark variables and values from the literature, the authors simulated the process using Biolayout; a big data-modeling tool. The results show social newsgroups have significant impact in the explosion of misinformation as well as combating misinformation. The outcome has helped better understand and visualize how misinformation travels in the spatial space of social media

E-university Lecture Delivery Model: From Classroom to Virtual

The failure of the UK government in setting up the first e-university in the early 2000 is attributed to several reasons including poor business models, branding, disruptive technologies, lack of organizational structure that accommodates such challenges, and failure to integrate a blended approach. Key to this failure is the lecture/lesson delivery model whereby e-university lesson models did not adapt much of the original classroom model of teaching with that of the virtual environment. A key obstacle is believed to be the lack of technologies of the time to support such processes. The conditions have since changed and are set to continue to change. This paper looks at academic research, technological innovations, employs process analysis, and reflective analysis to provide a lecture/lesson delivery model for the next generations of e-universities. The aim is to find to what extend current online lecture/lesson deliveries have evolved. In this process, the team reviews the case study of a UK e-university using Adobe Connect learning model that mirrors much of the physical processes of lecture/lesson delivery. Using Riva model, the paper compares the physical with the virtual model of lesson/lecture delivery processes. The paper concludes that this key process has shown promising results but there remain some challenges for e-university processes to overcome

A best-effort integration framework for imperfect information spaces

Entity resolution (ER) with imperfection management has been accepted as a major aspect while integrating heterogeneous information sources that exhibit entities with varied identifiers, abbreviated names, and multi-valued attributes. Many of novel integration applications such as personal information management and web-scale information management require the ability to represent and manipulate imperfect data. This requirement signifies the issues of starting with imperfect data to the production of probabilistic database. However, classical data integration (CDI) framework fails to cope with such requirement of explicit imperfect information management. This paper introduces an alternative integration framework based on the best-effort perspective to support instance integration automation. The new framework explicitly incorporates probabilistic management to the ER tasks. The probabilistic management includes a new probabilistic global entity, a new pair-wise-source-to-target ER process, and probabilistic decision model logic as alternatives. Together, the paper presents how these processes operate to support the current heterogeneous sources integration challenges

Combating Misinformation Online: Identification of Variables and Proof-of-Concept Study

The spread of misinformation online is specifically amplified by use of social media, yet the tools for allowing online users to authenticate text and images are available though not easily accessible. The authors challenge this view suggesting that corporations’ responsible for the development of browsers and social media websites need to incorporate such tools to combat the spread of misinformation. As a step stone towards developing a formula for simulating spread of misinformation, the authors ran theoretical simulations which demonstrate the unchallenged spread of misinformation which users are left to authenticate on their own, as opposed to providing the users means to authenticate such material. The team simulates five scenarios that gradually get complicated as variables are identified and added to the model. The results demonstrate a simulation of the process as proof-of-concept as well as identification of the key variables that influence the spread and combat of misinformation online