Bots on Social Media: The Past, Present and Future DOI Creative Commons
Sippo Rossi

Published: Jan. 1, 2024

Bots, and their more sophisticated variant, social bots, have become a ubiquitous part of media. From technological standpoint, the modern bot is remarkable achievement, having survived countless attempts at detection removal by networking sites through evolution persistence those who operate bots. Social bots been accused being capable influencing opinions even manipulating election results, although recent work has also explored benign benevolent use cases for This dissertation uses variety methods, from machine learning network analysis to experiments, study these different types The based on five publications that contribute our overall understanding how them. first two represent early naive era research, where goal was detect as manipulators elections or spreaders conspiracy theories. third fourth jump generative AI-powered focus capabilities humans rather than models, an understudied area research. fifth final publication builds methods developed in paper proposes generalized approach using foundation models AI experiments phenomena such Overall, this describes history both field itself concludes with epilogue speculates future research Twitter no longer viable data source.

Language: Английский

The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda DOI
Joseph Amankwah‐Amoah, Samar Abdalla, Emmanuel Mogaji

et al.

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 79, P. 102759 - 102759

Published: Feb. 8, 2024

Language: Английский

Citations

51

AI-empowered scale development: Testing the potential of ChatGPT DOI Creative Commons
Stefan Hoffmann, Wassili Lasarov, Yogesh K. Dwivedi

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 205, P. 123488 - 123488

Published: June 5, 2024

Language: Английский

Citations

6

Emerging leaders or persistent gaps? Generative AI research may foster women in STEM DOI
Prema Nedungadi, Maneesha Vinodini Ramesh, Venu Govindaraju

et al.

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 77, P. 102785 - 102785

Published: April 17, 2024

Language: Английский

Citations

4

Tendencias investigativas en el uso de técnicas de inteligencia artificial en la investigación científica DOI Creative Commons
Eduar Antonio Rodríguez Flores, Luís Fernando Garcés Giraldo, Jackeline Valencia

et al.

Revista Venezolana de Gerencia, Journal Year: 2025, Volume and Issue: 30(109), P. 351 - 380

Published: Jan. 30, 2025

La inteligencia artificial (IA) ha transformado la investigación científica en última década. Su capacidad para procesar grandes volúmenes de datos revolucionado áreas como las ciencias naturales y sociales, permitiendo identificación patrones, generación predicciones, creación nuevos modelos teóricos metodológicos. Sin embargo, su implementación enfrenta desafíos significativos, ausencia un enfoque sistemático estandarizado. El objetivo esta es examinar tendencias investigativas el campo. metodología abarca bases Scopus Web Of Science. Los resultados revelan crecimiento polinomial cúbico con los años 2023 2022 más relevantes. referentes temáticos fueron autores Liu Zhang, revistas Innovation Cognition países Estados Unidos China. En evolución temática se pasó investigar sobre Scientific study of language a ChatGPT Remote research, palabras emergentes crecientes Generative AI, Integrity ChatGPT. Se sugiere profundizar conceptos clave enfrentar aprovechar oportunidades que ofrece científica. Las conclusiones proporcionan una visión completa del estado actual sugieren prometedoras estudios futuros.

Citations

0

The impact of AI-supported marketing capabilities and analytics on SMEs' customer agility and marketing performance DOI Open Access
Fatma DEMİRAĞ

International Journal of Social Sciences and Education Research, Journal Year: 2025, Volume and Issue: 11(1), P. 1 - 14

Published: March 9, 2025

This research examines the impact of marketing analytics and artificial intelligence applications on customer agility performance in businesses that adopt e-commerce. In this quantitative study, data were collected through a questionnaire. Data from 227 managers online analyzed using Smart PLS method. The study concluded AI-supported capabilities affect performance. It is also has an addition, results show mediator effects offers concrete suggestions for businesses, facilitating decision-making processes, demonstrates how digital strategies can be employed more effectively. makes academic contribution by analyzing relationship between transformation capabilities, thus guiding future research.

Language: Английский

Citations

0

Bulldogs stenosis degree classification using synthetic images created by generative artificial intelligence DOI Creative Commons
Gustavo da Silva Andrade, Gabriel Toshio Hirokawa Higa, José Francisco Ribeiro

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 21, 2025

Nasal stenosis in bulldogs significantly impacts their quality of life, making early diagnosis crucial for effective treatment. This study developed an automated deep learning model to classify the severity nasal using 1020 images bulldog nostrils, including both real and AI-generated samples. Five neural network architectures were tested across three experiments, with DenseNet201 achieving highest median F-score 54.04%. The model's performance was directly compared trained human evaluators specializing veterinary anatomy, comparable levels accuracy reliability. These results demonstrate potential advanced networks match human-level diagnosis, paving way enhanced treatment planning overall animal welfare.

Language: Английский

Citations

0

How generative AI Is shaping the future of marketing DOI Creative Commons
Dhruv Grewal, Cinthia B. Satornino, Thomas H. Davenport

et al.

Journal of the Academy of Marketing Science, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 14, 2024

Abstract Generative AI (Gen AI) is shaping the future of marketing. In next decade, Gen will influence how marketers interact and communicate with customers, help create deliver marketing content (text, images, video), inform methods for researching developing new products services. both service sales settings, affect customers directly significantly. Therefore, marketers, researchers, public policy makers require a clear understanding its potential, as well limitations. To assist in thinking through adoption implementation AI, current article presents four-quadrant organizing framework that highlights trade-offs nature inputs extent human augmentation needed to AI–generated outputs. This provides guidance selection tools, recommendations further research.

Language: Английский

Citations

3

Experience is all you need: a large language model application of fine-tuned GPT-3.5 and RoBERTa for aspect-based sentiment analysis of college football stadium reviews DOI
Tyreal Yizhou Qian,

Weizhe Li,

Hua Gong

et al.

Sport Management Review, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 25

Published: Aug. 20, 2024

Despite extensive research in service industries, fine-grained explorations of customer experience within spectator sports remain limited. This study pioneers a transfer learning approach grounded post-positivism paradigm, underpinned by an integrative framework for aspect-based sentiment analysis user-generated content, shedding light on the complexity college football game day experience. Three fine-tuned large language models were employed to qualitatively identify and quantitatively analyze from Tripadvisor reviews stadiums. Our findings indicated that fans' positive reactions stimuli related core (game dynamics), functional (facilities/services), emotional (intense feelings), socialization (fan interactions/bonding) significantly increased likelihood them giving five-star rating. Mitigating negative experiences across functional, emotional, socialization, safety, monetary was crucial achieving top rating, with reducing issues safety concerns having greatest impact. contributes sport management literature establishing unified view experience, enabling holistic conceptualization operationalization sports. Empirically, our proposes targeted strategies manage offers professionals ready-to-use along detailed deployment guidelines tailored distinct use cases.

Language: Английский

Citations

2

Meta-requirements for LLM-Based Knowledge Exploration Tools in Information Systems Research DOI
Jonas Sjöström, Stefan Cronholm

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 424 - 439

Published: Jan. 1, 2024

Language: Английский

Citations

1

Large language models present new questions for decision support DOI
Abram Handler, Kai R. Larsen,

Richard D. Hackathorn

et al.

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 79, P. 102811 - 102811

Published: June 4, 2024

Language: Английский

Citations

1