Citizen science programs are becoming increasingly popular among naturalists but remain heavily biased taxonomically and geographically. However, with the explosive popularity of social media and the near-ubiquitous availability of smartphones, many post wildlife photographs on social media. Here, we illustrate the potential of harvesting these data to enhance our biodiversity understanding using Bangladesh, a tropical biodiverse country, as a case study. We compared biodiversity records extracted from Facebook with those from the Global Biodiversity Information Facility (GBIF), collating geospatial records for 1013 unique species, including 970 species from Facebook and 712 species from GBIF. Although most observation records were biased toward major cities, the Facebook records were more evenly spatially distributed. About 86% of the Threatened species records were from Facebook, whereas the GBIF records were almost entirely Of Least Concern species. To reduce the global biodiversity data shortfall, a key research priority now is the development of mechanisms for extracting and interpreting social media biodiversity data.

Increasing biodiversity knowledge through social media: A case study from tropical Bangladesh / Chowdhury, Shawan; Aich, Upama; Rokonuzzaman, Md; Alam, Shofiul; Das, Priyanka; Siddika, Asma; Ahmed, Sultan; Muzahid Labi, Mahzabin; DI MARCO, Moreno; A Fuller, Richard; T Callaghan, Corey. - In: BIOSCIENCE. - ISSN 0006-3568. - 73:(2023), pp. 453-459. [10.1093/biosci/biad042]

Increasing biodiversity knowledge through social media: A case study from tropical Bangladesh

Moreno Di Marco;
2023

Abstract

Citizen science programs are becoming increasingly popular among naturalists but remain heavily biased taxonomically and geographically. However, with the explosive popularity of social media and the near-ubiquitous availability of smartphones, many post wildlife photographs on social media. Here, we illustrate the potential of harvesting these data to enhance our biodiversity understanding using Bangladesh, a tropical biodiverse country, as a case study. We compared biodiversity records extracted from Facebook with those from the Global Biodiversity Information Facility (GBIF), collating geospatial records for 1013 unique species, including 970 species from Facebook and 712 species from GBIF. Although most observation records were biased toward major cities, the Facebook records were more evenly spatially distributed. About 86% of the Threatened species records were from Facebook, whereas the GBIF records were almost entirely Of Least Concern species. To reduce the global biodiversity data shortfall, a key research priority now is the development of mechanisms for extracting and interpreting social media biodiversity data.
2023
Facebook; Wallacean shortfall; biodiversity conservation; citizen science; social media data
01 Pubblicazione su rivista::01a Articolo in rivista
Increasing biodiversity knowledge through social media: A case study from tropical Bangladesh / Chowdhury, Shawan; Aich, Upama; Rokonuzzaman, Md; Alam, Shofiul; Das, Priyanka; Siddika, Asma; Ahmed, Sultan; Muzahid Labi, Mahzabin; DI MARCO, Moreno; A Fuller, Richard; T Callaghan, Corey. - In: BIOSCIENCE. - ISSN 0006-3568. - 73:(2023), pp. 453-459. [10.1093/biosci/biad042]
File allegati a questo prodotto
File Dimensione Formato  
Chowdhury_Increasing_2023.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 891.12 kB
Formato Adobe PDF
891.12 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1692479
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 4
social impact