Artificial intelligence and the conduct of literature reviews

G Wagner, R Lukyanenko… - Journal of Information …, 2022 - journals.sagepub.com
Artificial intelligence (AI) is beginning to transform traditional research practices in many
areas. In this context, literature reviews stand out because they operate on large and rapidly …

Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Polarization and fake news: Early warning of potential misinformation targets

MD Vicario, W Quattrociocchi, A Scala… - ACM Transactions on the …, 2019 - dl.acm.org
Users' polarization and confirmation bias play a key role in misinformation spreading on
online social media. Our aim is to use this information to determine in advance potential …

Systematic literature review of sentiment analysis on Twitter using soft computing techniques

A Kumar, A Jaiswal - Concurrency and Computation: Practice …, 2020 - Wiley Online Library
Sentiment detection and classification is the latest fad for social analytics on Web. With the
array of practical applications in healthcare, finance, media, consumer markets, and …

Enterprise social media usage: The motives and the moderating role of public social media experience

Y Liu, T Bakici - Computers in Human Behavior, 2019 - Elsevier
Abstract Enterprise Social Media platforms have been adopted and deployed in the
organizations with the aim of improving employees' work performance through facilitating …

Exploring barriers to adoption of Virtual Reality through Social Media Analytics and Machine Learning–An assessment of technology, network, price and trialability

C Laurell, C Sandström, A Berthold… - Journal of Business …, 2019 - Elsevier
This paper aims to assess how diffusion of Virtual Reality (VR) technology is taking place
and identify potential barriers to increased adoption. This is done by utilising Social Media …

The micro foundations of social media use: Artificial intelligence integrated routine model

AM Ghouri, V Mani, MA ul Haq, SS Kamble - Journal of Business Research, 2022 - Elsevier
Increasingly, firms' social media (SM) use is on the rise; therefore, effective communication
on SM remains a challenge for firms in the digital era. This study explores firms' different SM …

Comparative evaluation of BSC-based new service development competencies in Turkish banking sector with the integrated fuzzy hybrid MCDM using content …

H Dinçer, S Yüksel - International Journal of Fuzzy Systems, 2018 - Springer
The aim of this study is to evaluate new service development competencies in Turkish
banking sector. Within this scope, 16 Turkish deposit banks are taken into the consideration …

[HTML][HTML] Examining strategic diversity communication on social media using supervised machine learning: Development, validation and future research directions

J Hofhuis, J Gonçalves, P Schafraad, B Wu - Public Relations Review, 2024 - Elsevier
In this paper, we present a digital tool named Diversity Perspectives in Social Media
(DivPSM) which conducts automated content analysis of strategic diversity communication in …

Análisis supervisado de sentimientos políticos en español: clasificación en tiempo real de tweets basada en aprendizaje automático

C Arcila-Calderón… - Profesional de …, 2017 - revista.profesionaldelainformacion …
Se describe y evalúa la aplicación de la técnica análisis supervisado de sentimientos en
comunicación política a través de un clasificador en tiempo real de opiniones políticas en …