Extracting disaster information based on Sina Weibo in China: A case study of the 2019 Typhoon Lekima

Wu, Kejie; Wu, Jidong; Ding, Wei; Tang, Rumei

doi:10.1016/j.ijdrr.2021.102304

Cited by 33 publications

(12 citation statements)

References 37 publications

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“…[84] conducted content and sentiment analysis to evaluate the public opinion on the Syria Chemical attack in 2017. In summary, the public sentiment after a disaster can be captured by collective intelligence in not only social security events but also natural hazards including earthquakes [62], floods [64,65,71], bush fires [78], tsunamis [66], and typhoons [67].…”

Section: Collective Intelligencementioning

confidence: 99%

Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature

et al. 2023

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Disasters are sudden and catastrophic events with fatal consequences. Time-sensitive information collection from disaster zones is crucial for improved and data-driven disaster response. However, information collection from disaster zones in a prompt way is not easy or even possible. Human-centric information provided by citizen sensors through social media platforms create an opportunity for prompt information collection from disaster zones. There is, nevertheless, limited scholarly work that provides a comprehensive review on the potential of social media analytics for disaster response. This study utilizes a systematic literature review with PRISMA protocol to investigate the potential of social media analytics for enhanced disaster response. The findings of the systematic review of the literature pieces (n = 102) disclosed that (a) social media analytics in the disaster management research domain is an emerging field of research and practice; (b) the central focus on the research domain is on the utilization of social media data for disaster response to natural hazards, but the social media data-driven disaster response to human-made disasters is an increasing research focus; (c) human-centric information intelligence provided by social media analytics in disaster response mainly concentrates on collective intelligence, location awareness, and situation awareness, and (d) there is limited scholarly research investigating near-real-time transport network management aftermath disasters. The findings inform authorities’ decision-making processes as near-real time disaster response management depending on social media analytics is a critical element of securing sustainable cities and communities.

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Section: Collective Intelligencementioning

confidence: 99%

Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature

et al. 2023

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“…Sina Weibo's platform is popular for its real-time information and has become a new communication method and research tool for public opinion topics (Li, 2021). Wu et al (2021) extracted disaster information based on Sina Weibo in China and conducted a case study on Typhon Lekima. Some other researchers studied the public concerns based on Sina Weibo, such as the human papillomavirus vaccine (Xiang and Feng., 2021), urban spatial patterns and functional zones (Miao et al, 2021), low-carbon cities' popularity (Yang et al, 2017), and construction safety (Zeng and Li, 2022) etc.…”

Section: Sina Weibo and Linkedinmentioning

confidence: 99%

A comparative study on LinkedIn and Sina Weibo users’ perceptions of the carbon-neutral city

Zeng

Mao

et al. 2022

Front. Environ. Sci.

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A carbon-neutral city is one of the most critical topics in carbon neutrality. To study the general public and professionals’ focus, we analysed the posts on Weibo and LinkedIn through Pycharm, Navicat Premium, KHCoder, and Tableau. This study included 1908 microposts (14,668 sentences) on Weibo and 533 posts (3733 sentences) on LinkedIn. On Weibo, the most influential users were governments and organisations; for example, Baotou Daily, Beijing Ecological Environment, 922 Green Travel, Baotou Evening News, and Baoding Evening News. On LinkedIn, the most influential person was the co-director of Carbon Neutral Cities Alliance. The most popular topics on LinkedIn included “city,” “carbon,” “climate,” “neutral,” “energy,” “emission,” “sustainability,” “sustainable,” “neutrality” and the keywords of “world”; while “carbon,” “city,” “energy,” “development,” “new,” “green,” “promote,” “neutrality,” “construction” and “industry” are more prevalent in Weibo. Both LinkedIn and Weibo users focus on “energy” and related issues. LinkedIn users mentioned “climate” and “sustainability” most in their posts, but Weibo users concerned about green development in the construction industry.

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“…Quality of information is a core topic in the discussions on the potentials of SM in DRM. The access to quality information can increase DRP and trust in government (see [70,74,95]). It is also strictly connected with the reliability of information.…”

Section: Quality Of Information and Reliabilitymentioning

confidence: 99%

“…According to the literature review here provided, what emerges is that SM could have an important role especially during disasters in: ₋Increasing situational awareness (checking information) (see, among the others,[57,67,68,[70][71][72][73][74]);…”

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confidence: 99%

Framing Disaster Risk Perception and Vulnerability in Social Media Communication: A Literature Review

et al. 2022

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The paper presents the results of a literature review on how social media can impact on disaster risk perception and vulnerability and how these two aspects are interconnected, trying to understand what factors have consequences especially on informational vulnerability. The paper answers to the increasing requests at an international level to move from a technocratic approach to disaster risk management and reduction to a holistic one, where social perspective is integrated. The paper states that this change of paradigm is relevant, especially considering the role that new technologies in communication and information systems are acquiring in disaster risk management and reduction. What emerges from the literature review is that there is a limited scientific production on the topic and further works are desired, to improve knowledge on how new communication and information technologies can impact on vulnerability and risk perception. Furthermore, the two topics are usually discussed separately. However, the role that risk perception can have in increasing or reducing vulnerability deserves to be better discussed.

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Extracting disaster information based on Sina Weibo in China: A case study of the 2019 Typhoon Lekima

Cited by 33 publications

References 37 publications

Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature

Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature

A comparative study on LinkedIn and Sina Weibo users’ perceptions of the carbon-neutral city

Framing Disaster Risk Perception and Vulnerability in Social Media Communication: A Literature Review

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