This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …

Demonstrations that analyses of social media content can align with measurement from
sample surveys have raised the question of whether survey research can be supplemented …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

This study demonstrates a way of bringing an innovative data source, social media
information, to the government accounting information systems to support accountability to …

Electoral prediction from Twitter data is an appealing research topic. It seems relatively
straightforward and the prevailing view is overly optimistic. This is problematic because …

Purpose–Social media provide an impressive amount of data about users and their
interactions, thereby offering computer and social scientists, economists, and statisticians …

Gathering public opinion by analyzing big social data has attracted wide attention due to its
interactive and real time nature. For this, recent studies have relied on both social media and …

Abstract Extraction of Emotions from Multilingual Text posted on social media by different
categories of users is one of the crucial tasks in the field of opining mining and sentiment …

Measuring and forecasting opinion trends from real-time social media is a long-standing
goal of big-data analytics. Despite the large amount of work addressing this question, there …

There is a large body of research on utilizing online activity as a survey of political opinion to
predict real world election outcomes. There is considerably less work, however, on using …