E-COMMERCE AND CYBER VULNERABILITIES IN BANGLADESH: A POLICY PAPER

E-commerce is one way among many that people buy and sell things in retail. Some companies sell products online only, but for many, e-commerce is a distribution channel that’s part of a broader strategy that includes physical stores and other revenue streams. Either way, e-commerce allows startups, small businesses, and large companies to sell their products at scale and reach customers worldwide. The growing scenario of E-commerce shapes a new dynamism in Business and offers no time-bound, cost-efficient, and hassle-free buy and sell. Following changing approach, security management in e-commerce (cyber security) is now the focus. People in Bangladesh are mostly unaware of the risks of using computing and digital devices and online platforms. This article articulated the risk factors associated with the growing reliance on digital technologies and devices. Then, some policy guidelines are prescribed for the national level and individual level, including leading social campaigns, new chapters in the school curriculum, advancing technological aptitudes of law enforcers, strengthening security systems in e-commerce, embanking sites, bringing frauds to justice, initiating law to define cybercrimes, fortifying institutional management of cyber securities

Location Based Sentiment Mapping of Topics Detected in Social Media

Social media has risen as a powerful social link among people. It gives them an easy, unsupervised, rapid and flexible platform for sharing information with each other. It serves like a virtual environment where there is no direct or indirect executive power to dictate their opinions. They feel free to appreciate or criticize the actions of others. That is why social media posts carry true reflection of public feelings over any social event. This very nature of social media content makes it a valuable asset for research community to dig deeper and find meaningful concerns out of its huge chunks. This research work explores how people across different regions of Pakistan think about any social media topic. The research work proposed a model to extract spatial, topical and sentimental information of social media posts and combine them together to perform location-based sentiment mapping of the topics detected in social media. The study area has been restricted to Pakistan.The research work started with collection of tweets using streaming API of the Twitter. The information contained in a 3rd party dataset worldCities was used to filter out Pakistani tweets and perform indirect conversion of user profile location into geo-location, as geo-location was directly not available with tweets. Probabilistic topic model; Latent Dirichlet Allocation (LDA) was used to extract latent topics from the dataset. CRAN library was used for sentiment classification of the tweets into 3 classes: positive, negative and neutral. The processed dataset was uploaded to a persistent storage Google Drive and then imported into a web based interactive self-written Shiny Application to read geo-spatial, topical and sentimental information of the tweets from processed dataset and produce interactive geographical map. The interactive geographical map has also been supported by heatmap, scatter plots, bar graphs and pie charts in order to enhance visualization process. The novelty of this research work is its location-based visualization of the strength of public opinion on any emerging event or topic in Pakistan.