scholarly journals Probabilistic Flood Extent Estimates from Social Media Flood Observations

2016 ◽  
Author(s):  
Tom Brouwer ◽  
Dirk Eilander ◽  
Arnejan van Loenen ◽  
Martijn J. Booij ◽  
Kathelijne M. Wijnberg ◽  
...  

Abstract. The increasing number and severity of floods, driven by phenomena such as urbanization, deforestation, subsidence and climate change, creates a growing need for accurate and timely flood maps. This research focussed on creating flood maps using user generated content from Twitter. Twitter data has added value over traditional methods such as remote sensing and hydraulic models, since the data is available almost instantly, in contrast to remote sensing and requires less detail than hydraulic models. Deterministic flood maps created using these data showed good performance (F(2) = 0.69) for a case study in York (UK). For York the main source of uncertainty in the probabilistic flood maps was found to be the error of the locations derived from the Twitter data. Errors in the elevation data and parameters of the applied algorithm contributed less to flood extent uncertainty. Although the generated probabilistic maps tended to overestimate the actual probability of flooding, they gave a reasonable representation of flood extent uncertainty in the area. This study illustrates that inherently uncertain data from social media can be used to derive information about flooding.

2017 ◽  
Vol 17 (5) ◽  
pp. 735-747 ◽  
Author(s):  
Tom Brouwer ◽  
Dirk Eilander ◽  
Arnejan van Loenen ◽  
Martijn J. Booij ◽  
Kathelijne M. Wijnberg ◽  
...  

Abstract. The increasing number and severity of floods, driven by phenomena such as urbanization, deforestation, subsidence and climate change, create a growing need for accurate and timely flood maps. In this paper we present and evaluate a method to create deterministic and probabilistic flood maps from Twitter messages that mention locations of flooding. A deterministic flood map created for the December 2015 flood in the city of York (UK) showed good performance (F(2) =  0.69; a statistic ranging from 0 to 1, with 1 expressing a perfect fit with validation data). The probabilistic flood maps we created showed that, in the York case study, the uncertainty in flood extent was mainly induced by errors in the precise locations of flood observations as derived from Twitter data. Errors in the terrain elevation data or in the parameters of the applied algorithm contributed less to flood extent uncertainty. Although these maps tended to overestimate the actual probability of flooding, they gave a reasonable representation of flood extent uncertainty in the area. This study illustrates that inherently uncertain data from social media can be used to derive information about flooding.


2019 ◽  
Vol 9 (3) ◽  
pp. 498
Author(s):  
Ahmad Mulyana

The sustainability of industrial business depends on the ability of organizations to manage the needs and desires of consumers so that the products produced become part of consumer life. The radio broadcast industry in the era of digital technology is threatened no longer able to meet the needs of its listeners because social media has changed the behavior of audiences in consuming radio media. on that basis the radio broadcast industry must adapt to managing radio broadcasts by synergizing the behavior of the use of digital media with radio characters that are personal to the audience so that the radio broadcast industry continues to survive. The purpose of this study was to determine the management of social media and identify the added value it generates to maintain the business continuity of radio broadcast programs, especially Iradio 89.6 FM. The related concept is digital media management, product added value for business continuity. The research method used is a case study with a qualitative approach with the support of data triangulation so that the analysis can meet the validity aspects of the data. The results showed that the management was carried out with a strategy to build emotional bounding audiences through social media by synergizing digital technology with broadcast radio-based programming content. This helps the business continuity of IRadio 89.6 FM significantly. The existence of digital media for the radio industry is as a complement rather than as a competitor and digital media makes radio easier to access from various areas


First Monday ◽  
2018 ◽  
Author(s):  
Cristina Rosales Sánchez

Can social media become the new data source for certain social indicators? What does social media offer in comparison with classical sources for official statistics? This research analyzes the potential of Twitter data to obtain indicators of active citizenship. We use a methodology developed for a case study in Spain and test its replicability by applying it to England and the Netherlands. Twitter data offers an advantage to assess change in active citizenship over time and at high spatial resolution, while survey data — traditional sources for official statistics — are more authoritative and robust. Collecting and analyzing Twitter data is also faster than traditional survey processes. However, we found that Twitter usage specificities in each country ease or hinder the process, affecting the time to secure an indicator. Whilst future research will focus on other social indicators and sources of data, this research is an important step in developing an evidence-based understanding of the strengths and weakness of social media to inform policies.


2021 ◽  
Vol 10 (9) ◽  
pp. 626
Author(s):  
Doori Oh ◽  
Xiaobai A. Yao

Place types are often used to query places or retrieve data in gazetteers. Existing gazetteers do not use the same place type classification schemes, and the various typing schemes can cause difficulties in data alignment and matching. Different place types may share some level of similarities. However, previous studies have paid little attention to the place type similarities. This study proposes an analytical approach to measuring similarities between place types in multiple typing schemes based on functional signatures extracted from web-harvested place descriptions. In this study, a functional signature consists of three component signature factors: place affordance, events, and key-descriptors. The proposed approach has been tested in a case study using Twitter data. The case study finds high similarity scores between some pairs of types and summarizes the situations when high similarities could occur. The research makes two innovative contributions: First, it proposes a new analytical approach to measuring place type similarities. Second, it demonstrates the potential and benefits of using location-based social media data to better understand places.


2016 ◽  
Vol 44 (5) ◽  
pp. 560-582 ◽  
Author(s):  
Linda Gonzalez-Lafaysse ◽  
Catherine Lapassouse-Madrid

Purpose – Over the past decade climate change has become an inescapable aspect of social responsibility for the major retail chains who have sought to incorporate the environmental considerations into their communication strategies. The purpose of this paper is to look more closely at communications campaigns based on environmental theme through social networks. Design/methodology/approach – In this respect, social media can be considered a direct communication tool conducive to the promotion of sustainable development. Therefore, the paper is based on a year-long study of one group’s official Facebook page. Findings – The conclusions highlight the need for retail chains to strengthen the perceived consistency of their communication strategies on this subject, in order to retain their credibility. Practical implications – Encouraging consumers’ contributions via Facebook may be considered as a relevant practice for greening retail, on the condition that internet users are convinced of the value and interest of this process, as examples of a company’s concrete actions, which provide hard evidence of its stated commitments. The authors also point out the implications of the results in the emerging context of omni-channel retailing. Originality/value – This paper provides two kinds of added value. First its explore retailers’ practice on the subject of green marketing. Second, it provides significant learnings regarding the potential impact of communication in social media.


2019 ◽  
Vol 36 (1) ◽  
pp. 23-25

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This case study paper concentrates on the capacity of innovative applications of social media-led communication to inject added value into customer loyalty programs, based upon an analysis of the highly successful Shop Your Way (SYW) program run by Sears in the USA. The results revealed that social media is a pivotal force in the pursuit and retention of loyal customers, since individuals respond positively to participating in an ongoing experience of collecting rewards distributed on social platforms. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


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