Social media and civic engagement during calamities: the case of Twitter use during typhoon Yolanda

Soriano, Cheryll Ruth; Roldan, Ma. Divina Gracia Z.; Cheng, Charibeth; Oco, Nathaniel

doi:10.1080/01154451.2016.1146486

Cited by 22 publications

(15 citation statements)

References 29 publications

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“…Various studies have performed sentiment analysis on disaster-related tweets. In the Philippines, one study explored the nature of citizen engagement in Twitter during the events of typhoon Yolanda [32]. By using topic modelling and content analysis, Twitter was pronounced as a tool for igniting acts of citizenship (e.g., expression of solidarity and will for volunteer work) during calamities.…”

Section: Related Work 21 the Use Of Microblogging Platform During Dmentioning

confidence: 99%

Sentiment Analysis of Tweets on Coronavirus Disease 2019 (COVID-19) Pandemic from Metro Manila, Philippines

Garcia

2020

Cybernetics and Information Technologies

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From the outbreak of a novel COronaVIrus Disease (COVID-19) in Wuhan to the first COVID-19 case in the Philippines, Filipinos have been enthusiastically engaging on Twitter to convey their sentiments. As such, this paper aims to identify the public opinion of Filipino twitter users concerning COVID-19 in three different timelines. Toward this goal, a total of 65,396 tweets related to COVID-19 were sent to data analysis using R Statistical Software. Results show that “mask”, “health”, “lockdown”, “outbreak”, “test”, “kit”, “university”, “alcohol”, and “suspension” were some of the most frequently occurring words in the tweets. The study further investigates Filipinos’ emotions regarding COVID-19 by calculating text polarity of the dataset. To date, this is the first paper to perform sentiment analysis on tweets pertaining to COVID-19 not only in the Filipino context but worldwide as well.

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Section: Related Work 21 the Use Of Microblogging Platform During Dmentioning

confidence: 99%

Sentiment Analysis of Tweets on Coronavirus Disease 2019 (COVID-19) Pandemic from Metro Manila, Philippines

Garcia

2020

Cybernetics and Information Technologies

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“…Topic modelling can generate themes from the pool of shared information online and develop categories for codebook development. A topic model allows examination of a set of documents based on the statistics of the words, the discovery of what the topics might be and what each document’s balance of topics is (Soriano et al , 2016). On the other hand, word frequency count is the act of counting words based on the most repeated terms from the gathered data.…”

Section: Literature Reviewmentioning

confidence: 99%

“…One of the significant changes social media has introduced is how the government turns its means adequately, locate the victims and provide the assistance needed by the victims (Crawford and Finn, 2015; Lai, 2017). Social media is a mediating medium of communication that the government is using in disseminating information and coordinating with officials during disasters (Soriano et al , 2016; Takahashi et al , 2015). Thus, social media can be used in rebuilding the community and in providing long-term solutions to the effect of a disaster (Lai, 2017), and in providing public security (Steensen et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

“…While these priorities can undoubtedly be extracted through ground survey, this study seeks to contribute to the theorising potentials of social media for public engagement during disasters. As the number of social media users rises, the number of people turning to social media to express sentiments increases (Soriano et al , 2016). Thus, looking into the potentials of social media in times of disaster is deemed important.…”

Section: Introductionmentioning

confidence: 99%

“…Whereas, the ratio of global internet users to Philippine internet users are as follows: 67 is to 116 per cent for mobile internet users, 57 is to 71 per cent for internet users, 45 is to 71 per cent for active social media users and 42 is to 67 per cent for mobile social media users. Also, social media’s significance to the average Filipino internet users becomes more apparent during times of natural disasters (Soriano et al , 2016).…”

Section: Introductionmentioning

confidence: 99%

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Social media in aid of post disaster management

Malawani

Nurmandi

Purnomo

et al. 2020

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Purpose This paper aims to examine tweet posts regarding Typhoon Washi to contend the usefulness of social media and big data as an aid of post-disaster management. Through topic modelling and content analysis, this study examines the priorities of the victims expressed in Twitter and how the priorities changed over a year. Design/methodology/approach Social media, particularly Twitter, was where the data gathered. Using big data technology, the gathered data were processed and analysed according to the objectives of the study. Topic modelling was used in clustering words from different topics. Clustered words were then used for content analysis in determining the needs of the victims. Word frequency count was also used in determining what words were repeatedly used during the course period. To validate the gathered data online, government documents were requested and concerned government agencies were also interviewed. Finding Findings of this study argue that housing and relief goods have been the top priorities of the victims. Victims are seeking relief goods, especially when they are in evacuation centres. Also, the lack of legal basis hinders government officials from integrating social media information unto policymaking. Research limitation This study only reports Twitter posts containing keywords either, Sendong, SendongPH, Washi or TyphoonWashi. The keywords were determined based on the words that trended after Typhoon Washi struck. Practical implication For social media and big data to be adoptable and efficacious, supporting and facilitating conditions are necessary. Structural, technical and financial support, as well as legal framework, should be in place. Maintaining and sustaining positive attitude towards it should be taken care of. Originality/value Although many studies have been conducted on the usefulness of social media in times of disaster, many of these focused on the use of social media as medium that can efficiently spread information, and little has been done on how the government can use both social media and big data in collecting and analysing the needs of the victims. This study fills those gaps in social big data literature.

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Analyzing National Film Based on Social Media Tweets Input Using Topic Modelling and Data Mining Approach

Ramos

Suarez

Tighe

2018

Lecture Notes in Electrical Engineering

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Social media and civic engagement during calamities: the case of Twitter use during typhoon Yolanda

Cited by 22 publications

References 29 publications

Sentiment Analysis of Tweets on Coronavirus Disease 2019 (COVID-19) Pandemic from Metro Manila, Philippines

Sentiment Analysis of Tweets on Coronavirus Disease 2019 (COVID-19) Pandemic from Metro Manila, Philippines

Social media in aid of post disaster management

Analyzing National Film Based on Social Media Tweets Input Using Topic Modelling and Data Mining Approach

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