Open Access
Issue
ITM Web Conf.
Volume 65, 2024
International Conference on Multidisciplinary Approach in Engineering, Technology and Management for Sustainable Development: A Roadmap for Viksit Bharat @ 2047 (ICMAETM-24)
Article Number 03016
Number of page(s) 13
Section Computer Engineering and Information Technology
DOI https://doi.org/10.1051/itmconf/20246503016
Published online 16 July 2024
  1. Aichner, Thomas, Matthias Grünfelder, Oswin Maurer, and Deni Jegeni. “Twenty-five years of social media: a review of social media applications and definitions from 1994 to 2019.” Cyberpsychology, behaviour, and social networking 24, no. 4 (2021): 215–222. [CrossRef] [Google Scholar]
  2. Kapoor, Kawaljeet Kaur, Kuttimani Tamilmani, Nripendra P. Rana, Pushp Patil, Yogesh K. Dwivedi, and Sridhar Nerur. “Advances in social media research: Past, present and future.” Information Systems Frontiers 20 (2018): 531–558. [CrossRef] [Google Scholar]
  3. Bossetta, Michael. “The digital architectures of social media: Comparing political campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 US election.” Journalism & Mass Communication Quarterly 95, no. 2 (2018): 471–496. [CrossRef] [Google Scholar]
  4. Ahuja, Yukti, and Kashika Chadha. “Content Sharing and Communication on Social Media Platforms: A Review.” IUP Journal of Management Research 21, no. 1 (2022). [Google Scholar]
  5. Flew, Terry, and Petros Iosifidis. “Populism, globalisation and social media.” International Communication Gazette 82, no. 1 (2020): 7–25. [CrossRef] [Google Scholar]
  6. Chadwick, Andrew. “The new crisis of public communication: Challenges and opportunities for future research on digital media and politics.” (2019). [Google Scholar]
  7. Peng, Sancheng, Yongmei Zhou, Lihong Cao, Shui Yu, Jianwei Niu, and Weijia Jia. “Influence analysis in social networks: A survey.” Journal of Network and Computer Applications 106 (2018): 17–32. [CrossRef] [Google Scholar]
  8. Peng, Sancheng, Yongmei Zhou, Lihong Cao, Shui Yu, Jianwei Niu, and Weijia Jia. “Influence analysis in social networks: A survey.” Journal of Network and Computer Applications 106 (2018): 17–32. [CrossRef] [Google Scholar]
  9. Kapoor, Kawaljeet Kaur, Kuttimani Tamilmani, Nripendra P. Rana, Pushp Patil, Yogesh K. Dwivedi, and Sridhar Nerur. “Advances in social media research: Past, present and future.” Information Systems Frontiers 20 (2018): 531–558. [CrossRef] [Google Scholar]
  10. Enli, Gunn, and Chris-Adrian Simonsen. “‘Social media logic ’ meets professional norms: Twitter hashtags usage by journalists and politicians.” Information, Communication & Society 21, no. 8 (2018): 1081–1096. [CrossRef] [Google Scholar]
  11. Arijeniwa, Adedeji F., and Emeke Precious Nwaoboli. “Setting agenda for public discourse: Examining the impact of social media on political participation amongst Nigerian youth.” International Journal of Arts, Humanities and Management Studies 10, no. 1 (2023): 36–53. [Google Scholar]
  12. Wang, Zheye, and Xinyue Ye. “Social media analytics for natural disaster management.” International Journal of Geographical Information Science 32, no. 1 (2018): 49–72. [CrossRef] [Google Scholar]
  13. Zhang, Cheng, Chao Fan, Wenlin Yao, Xia Hu, and Ali Mostafavi. “Social media for intelligent public information and warning in disasters: An interdisciplinary review.” International Journal of Information Management 49 (2019): 190–207. [CrossRef] [Google Scholar]
  14. Lovari, Alessandro, and Shannon A. Bowen. “Social media in disaster communication: A case study of strategies, barriers, and ethical implications.” Journal of Public Affairs 20, no. 1 (2020): e1967. [CrossRef] [Google Scholar]
  15. Shittu, Ekundayo, Geoffrey Parker, and Nancy Mock. “Improving communication resilience for effective disaster relief operations.” Environment Systems and Decisions 38 (2018): 379–397. [CrossRef] [Google Scholar]
  16. Kanellopoulos, Vasilis, Vassilis Trianatafyllou, Constantinos Koutsojannis, and Efthymis Lekkas. “The Role of Social Media to the Natural Disaster or Crisis Management.” (2023). [Google Scholar]
  17. Young, Camila E., Camila E. Young, Erica D. Kuligowski, and Aashna Pradhan. A review of social media use during disaster response and recovery phases. US Department of Commerce, National Institute of Standards and Technology, 2020. [Google Scholar]
  18. Jahanian, Mohammad, Yuxuan Xing, Jiachen Chen, K. K. Ramakrishnan, Hulya Seferoglu, and Murat Yuksel. “The evolving nature of disaster management in the internet and social media era.” In 2018 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), pp. 79–84. IEEE, 2018. [Google Scholar]
  19. Dhall, Sakshi, Ashutosh Dhar Dwivedi, Saibal K. Pal, and Gautam Srivastava. “Blockchain-based framework for reducing fake or vicious news spread on social media/messaging platforms.” Transactions on Asian and Low-Resource Language Information Processing 21, no. 1 (2021): 133. [Google Scholar]
  20. Te, Chanvathana. “Incorporating Social Media Technologies as Crisis Communication in the Digital Age: A Look At the Public Sector Lens.” PhD diss., University of Massachusetts, 2021. [Google Scholar]
  21. Ogie, Robert I., Sharon James, A. Moore, Tasmin Dilworth, Mehrdad Amirghasemi, and Jushua Whittaker. “Social media use in disaster recovery: A systematic literature review.” International Journal of Disaster Risk Reduction 70 (2022): 102783. [CrossRef] [Google Scholar]
  22. Yu, Manzhu, Chaowei Yang, and Yun Li. “Big data in natural disaster management: a review.” Geosciences 8, no. 5 (2018): 165. [CrossRef] [Google Scholar]
  23. Zahra, Kiran, Muhammad Imran, and Frank O. Ostermann. “Automatic identification of eyewitness messages on Twitter during disasters.” Information processing & management 57, no. 1 (2020): 102107. [CrossRef] [Google Scholar]
  24. Imran, Muhammad, Ferda Ofli, Doina Caragea, and Antonio Torralba. “Using AI and social media multimodal content for disaster response and management: Opportunities, challenges, and future directions.” Information Processing & Management 57, no. 5 (2020): 102261. [CrossRef] [Google Scholar]
  25. Jambrešić Kirin, Renata, Katherine Borland, Stef Jansen, Jelena Marković, and Sanja Lončar. “To Touch, to Hear, to Feel. Could Ethnography Dissolve the Narrations of Fear?.” Etnološka tribina: Godišnjak Hrvatskog etnološkog društva 52, no. 45 (2022): 3–80. [Google Scholar]
  26. Domalewska, Dorota. “The role of social media in emergency management during the 2019 flood in Poland.” Security and Defence Quarterly 27, no. 5 (2019): 32–43. [CrossRef] [Google Scholar]
  27. Joseph, Joice K., Karunakaran Akhil Dev, A. P. Pradeepkumar, and Mahesh Mohan. “Big data analytics and social media in disaster management.” In Integrating disaster science and management, pp. 287–294. Elsevier, 2018. [CrossRef] [Google Scholar]
  28. Jamali, Mehdi, Ali Nejat, Souparno Ghosh, Fang Jin, and Guofeng Cao. “Social media data and post-disaster recovery.” International Journal of Information Management 44 (2019): 25–37. [CrossRef] [Google Scholar]
  29. Saroj, Anita, and Sukomal Pal. “Use of social media in crisis management: A survey.” International Journal of Disaster Risk Reduction 48 (2020): 101584. [CrossRef] [Google Scholar]
  30. Khatoon, Shaheen, Majed A. Alshamari, Amna Asif, Md Maruf Hasan, Sherif Abdou, Khaled Mostafa Elsayed, and Mohsen Rashwan. “Development of social media analytics system for emergency event detection and crisis management.” Comput. Mater. Contin 68, no. 3 (2021). [Google Scholar]
  31. Gulesan, Oya Benlioglu, Emrah Anil, and Pinar Sarisaray Boluk. “Social media-based emergency management to detect earthquakes and organize civilian volunteers.” International Journal of Disaster Risk Reduction 65 (2021): 102543. [CrossRef] [Google Scholar]
  32. Mitcham, Dionne, Morgan Taylor, and Curtis Harris. “Utilizing social media for information dispersal during local disasters: The communication hub framework for local emergency management.” International Journal of Environmental Research and Public Health 18, no. 20 (2021): 10784. [CrossRef] [Google Scholar]
  33. Kim, Jooho, and Makarand Hastak. “Social network analysis: Characteristics of online social networks after a disaster.” International Journal of Information Management 38, no. 1 (2018): 86–96. [CrossRef] [Google Scholar]
  34. Tye, Michelle, Carmen Leong, Felix Tan, Barney Tan, and Ying Hooi Khoo. “Social media for empowerment in social movements: the case of Malaysia’s grassroots activism.” Communications of the Association for Information Systems 42, no. 1 (2018): 15. [Google Scholar]
  35. Sirisawat, Siriphong, Pattanaporn Chatjuthamard, Supaporn Kiattisin, and Sirimon Treepongkaruna. “The future of digital donation crowdfunding.” PLoS One 17, no. 11 (2022): e0275898. [CrossRef] [Google Scholar]
  36. Kim, Sora, Kang Hoon Sung, Yingru Ji, Chen Xing, and Jiayu Gina Qu. “Online firestorms in social media: Comparative research between China Weibo and USA Twitter.” Public Relations Review 47, no. 1 (2021): 102010. [CrossRef] [Google Scholar]
  37. Li, Lingyao, Zihui Ma, and Tao Cao. “Leveraging social media data to study the community resilience of New York City to 2019 power outage.” International Journal of Disaster Risk Reduction 51 (2020): 101776. [CrossRef] [Google Scholar]
  38. Ferreira, Gil Baptista, and Susana Borges. “Media and misinformation in times of COVID-19: How people informed themselves in the days following the Portuguese declaration of the state of emergency.” Journalism and Media 1, no. 1 (2020): 108–121. [Google Scholar]
  39. Belso-Martínez, Jose Antonio, Alicia Mas-Tur, Mariola Sánchez, and Maria Jose Lopez-Sanchez. “The COVID-19 response system and collective social service provision. Strategic network dimensions and proximity considerations.” Service Business 14 (2020): 387–411. [CrossRef] [Google Scholar]
  40. Kersten, Jens, and Friederike Klan. “What happens during disasters? A Workflow for the multifaceted characterization of crisis events based on Twitter data.” Journal of Contingencies and Crisis Management 28, no. 3 (2020): 262–280. [CrossRef] [Google Scholar]
  41. Almaatouq, Abdullah, Alejandro Noriega-Campero, Abdulrahman Alotaibi, P. M. Krafft, Mehdi Moussaid, and Alex Pentland. “Adaptive social networks promote the wisdom of crowds.” Proceedings of the National Academy of Sciences 117, no. 21 (2020): 11379–11386. [CrossRef] [Google Scholar]
  42. Elsayed, Fatma Elzahraa. “Social media role in relieving the Rohingya humanitarian crisis.” New Media and Mass Communication 87, no. 1 (2020): 28–48. [Google Scholar]
  43. Shahsavari, Shadi, Pavan Holur, and Tianyi Wang. “Conspiracy in the time of corona: automatic detection of emerging.” Journal of Computational Social Science, 3 (2) (2020). [Google Scholar]
  44. Li, Kai, Cheng Zhou, Xin Robert Luo, Jose Benitez, and Qinyu Liao. “Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning.” Decision Support Systems 162 (2022): 113752. [CrossRef] [Google Scholar]
  45. Frey, Klaus, and Daniel Ricardo Calderón Ramírez. “Multi-level network governance of disaster risks: the case of the Metropolitan Region of the Aburra Valley (Medellin, Colombia).” Journal of Environmental Planning and Management 62, no. 3 (2019): 424–445. [CrossRef] [Google Scholar]
  46. Spialek, Matthew L., J. Brian Houston, and Kyle C. Worley. “Disaster communication, posttraumatic stress, and posttraumatic growth following Hurricane Matthew.” Journal of Health Communication 24, no. 1 (2019): 65–74. [CrossRef] [Google Scholar]
  47. Devaraj, Ashwin, Dhiraj Murthy, and Aman Dontula. “Machine-learning methods for identifying social media-based requests for urgent help during hurricanes.” International Journal of Disaster Risk Reduction 51 (2020): 101757. [CrossRef] [Google Scholar]
  48. Powers, Courtney J., Ashwin Devaraj, Kaab Ashqeen, Aman Dontula, Amit Joshi, Jayanth Shenoy, and Dhiraj Murthy. “Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach.” International Journal of Information Management Data Insights 3, no. 1 (2023): 100164. [CrossRef] [Google Scholar]
  49. Sit, Muhammed Ali, Caglar Koylu, and Ibrahim Demir. “Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma.” In Social Sensing and Big Data Computing for Disaster Management, pp. 8–32. Routledge, 2020. [CrossRef] [Google Scholar]
  50. Pouyanfar, Samira, Yudong Tao, Haiman Tian, Shu-Ching Chen, and Mei-Ling Shyu. “Multimodal deep learning based on multiple correspondence analysis for disaster management.” World Wide Web 22 (2019): 1893–1911. [CrossRef] [Google Scholar]
  51. Alam, Firoj, Ferda Ofli, and Muhammad Imran. “Descriptive and visual summaries of disaster events using artificial intelligence techniques: case studies of Hurricanes Harvey, Irma, and Maria.” Behaviour & Information Technology 39, no. 3 (2020): 288–318. [CrossRef] [Google Scholar]
  52. Ragini, J. Rexiline, PM Rubesh Anand, and Vidhyacharan Bhaskar. “Mining crisis information: A strategic approach for detection of people at risk through social media analysis.” International journal of disaster risk reduction 27 (2018): 556–566. [CrossRef] [Google Scholar]
  53. Manjrekar, Onkar N., and Milorad P. Dudukovic. “Identification of flow regime in a bubble column reactor with a combination of optical probe data and machine learning technique.” Chemical Engineering Science: X 2 (2019): 100023. [CrossRef] [Google Scholar]
  54. Hao, Haiyan, and Yan Wang. “Leveraging multimodal social media data for rapid disaster damage assessment.” International Journal of Disaster Risk Reduction 51 (2020): 101760. [CrossRef] [Google Scholar]
  55. Torres, Renato, Orlando Ohashi, and Gustavo Pessin. “A machine learning approach to distinguish passengers and drivers reading while driving.” Sensors 19, no. 14 (2019): 3174. [CrossRef] [Google Scholar]
  56. Hao, Haiyan, and Yan Wang. “Leveraging multimodal social media data for rapid disaster damage assessment.” International Journal of Disaster Risk Reduction 51 (2020): 101760. [CrossRef] [Google Scholar]
  57. Torres, Renato, Orlando Ohashi, and Gustavo Pessin. “A machine learning approach to distinguish passengers and drivers reading while driving.” Sensors 19, no. 14 (2019): 3174. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.