Understanding Fatal Crash Reporting Patterns in Bangladeshi Online Media using Text Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441673" target="_blank" >RIV/00216208:11320/21:10441673 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=8diW37COrH" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=8diW37COrH</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/03611981211014200" target="_blank" >10.1177/03611981211014200</a>
Alternative languages
Result language
angličtina
Original language name
Understanding Fatal Crash Reporting Patterns in Bangladeshi Online Media using Text Mining
Original language description
Traffic crashes are a major public health concern. In 2016, traffic crashes resulted in over 1.35 million deaths worldwide. In Bangladesh alone, the number of reported traffic fatalities was 2,376 in 2016. However, the World Health Organization estimated that the true number of traffic fatalities in Bangladesh ranges between 20,730 and 29,177. Editorial traffic crash reports in Bangladesh, and the number of crashes that are reported, vary widely among different media outlets. This study employed a Google News Alert to collect fatal crash reports from online English daily newspapers. The current study compiled a database of 419 fatal crash-related reports over a six-month period (November 2018-April 2019). The reports contain a total of 81,019 words. The results of this study reveal that online news coverage of traffic fatalities tends to vary from news agency to news agency. Furthermore, these reports do not usually cover key contributing factors of crash occurrences; the geometric features of crash occurrence sites are rarely reported. The findings demonstrate the importance of deciphering media coverage to develop potential safety risk measures in Bangladesh. The current findings provide strong support for the need for guidelines to help media outlets adequately document fatal crash reports.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50803 - Information science (social aspects)
Result continuities
Project
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Continuities
—
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Transportation Research Record
ISSN
0361-1981
e-ISSN
2169-4052
Volume of the periodical
2675
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
960-971
UT code for WoS article
000684314700001
EID of the result in the Scopus database
2-s2.0-85120044301