The global COVID-19 mass vaccination program has created a polemic amongst pro-and
anti-vaccination groups on social media. However, the working mechanism on how the …

We examine the disconnect between scholarship and practice in applying machine learning
to trust and safety problems, using misinformation detection as a case study. We survey …

This paper reports the findings of a 606-participant study analyzing the perception of, and
engagement with, COVID-19 vaccine rumors on efficacy and mass immunization effort on …

Twitter has evolved from its initial purpose as a microblogging social network to a pivotal
platform for science communication. Equally, it has gained significant popularity among …

We investigate how users perceive social media account verification, how those perceptions
compare to platform practices, and what happens when a gap emerges. We use recent …

This chapter has two main parts. The first part of this chapter delves into the intersection
between methods, methodologies, critical security studies and social media analysis. This is …

This paper explores the role of AI and database management in organizational
transformation using insights from Twitter data. By analyzing 30,000 English-language …

The unveiling of the COVID-19 vaccines has sparked widespread expressions of
apprehension, distrust and fear. Especially among Black Americans, who have had a …

This paper presents a series of experiments aimed at the sentiment analysis on texts posted
in Twitter. In particular, several morphological characteristics are studied for the …

Dijital dönüşüm ve Endüstri 4.0 ile beraber gelişen teknolojiler başta işletmeler olmak üzere
ülke ekonomileri üzerinde önemli derecede etkili olmaya başlamışlardır. Almanya'da ortaya …