… task for ML-based traffic polarity prediction. Therefore, this section first looks at traffic … detection
using sensors and social networking data; we then focus on class labeling of social media …

The fast spreading of fake news stories on social media can cause inestimable social harm.
Developing effective methods to detect them early is of paramount importance. A major …

… overview of social media bots attacks, current detection methods … is the first systematic review
based on a predefined search … Finally, a decision maker classifies the users based on the …

… , we identify the reported applications of social media analytics … of SMA with respect to the
current social media platforms. … BSM platform offering digital user identity verification services. …

… This article also addresses the process of capturing data from social media over the years
along with the similarity detection based on similar choices of the users in social networks. …

… group decision making problems, and (2) the FMMA/C in complex group decision making
problems (eg, social network, … In multiple attribute GDM problems, decision makers offer their …

… several potential applications of IF, such as advanced marketing, fraud detection, social
context-based … for new businesses and optimal decision making. Findings showed that applying …

… Stock traders need to predict trends in stock market behavior for correct decision making to
… Therefore, prediction of future stock market trends is very important for decision making by …

… high degree of agency to individual users, and the literature that … on user identity creation
on social media (which highlights the reduced agency users experience in terms of self-making …

… effects of influencer advertising attributes on consumer responses via multiple motive inference
… In so doing, this study examines whether social media users infer two types of motives (…