Digital platforms in the news industry: how social media platforms impact traditional media news viewership

Study on the sentimental influence on Indian stock price

The rapidly increasing scientific research on the stock market and the visible impact of media on equity prices are nowadays in limelight. To a greater extent, causal analysis can reckon the sentimental effect of the broadcasted content on stock valuation. We propose a four stage model to detect the direction of information flow between the news sentiment and stock price. Whilst web scraping explores and extracts the news datasets, the modified VADER algorithm finds the sentiments of the aired media. The associational causal analysis determines the cause effect between the news and stock price. The results suggest that the non parametric Shannon and Renyi's entropy approach supersedes the Granger test, a parametric study which is constrained to Gaussian time series with linear causation. Since Renyi's Entropy can perfectly identify the deluge of information during quick leaps, it is regarded as a beneficial formulation for investors when evaluating stocks with a fewer number of news mentions. The impact of news during the COVID-19 pandemic over the pharmaceutical sector was also done. The study infers an explicit information flow and direction of causality between news sentiment and stock price movement, which can be used to devise future investment and consumption strategies.

Infodemic and Fake News Turning Shift for Media: Distrust among University Students

In many parts of the world, long before social media, trust in media and journalism was fragile and shaky. Today, however, with an unprecedented information abundance, the situation has worsened because, in the high-speed information free-for-all of social media platforms and the internet, anyone can consume and produce. As a result, citizens find it difficult to discern what is real and what is fake. In this context, the aim of the study is to explore how information and fake news consumption affects the perception of media in terms of trust. The methodology applied for this purpose was a mixed method using both quantitative and qualitative data in order to provide not only descriptive data but more thorough results. For the quantitative analysis, a sample of 849 university students participated: from these, a smaller sample of 100 participated in the qualitative phase. Conclusions indicate that the distribution of fake news is worryingly associated with the media and, consequently, a concerning distrust of media is shown among participants who express feeling insecure, vulnerable, confused, and distrusting of media.