Harnessing the Power of Social Media to Obtain Biodiversity Data About Cetaceans in a Poorly Monitored Area

Abstract

The study and conservation of cetaceans benefit from systematic studies and non-systematic records about sightings and strandings. However, iEcology (internet ecology) was critical for numerous ecological studies and should be in the toolkit of cetacean ecologists. We hypothesize that iEcology is irreplaceable to obtain diversity data about cetaceans in poorly monitored regions that coincide with touristic destinations, where whale-watching companies go out to sea regularly and post their sightings on social media. Our study assessed the advantages and disadvantages of iEcology while obtaining the first broadscale and long-term assessment about cetaceans’ diversity off the Algarve, a European tourist destination with numerous whale-watching companies. We retrieved 1,299 time-referenced records about 15 species posted on Facebook and Instagram between 2011 and 2020. Data collected from Biodiversity4All, an online citizen science biodiversity database, disclosed georeferenced records about nine species made between 2008 and 2020, however, the number of records was 15.8 times lower than social media posts. We obtained information about 16 species, two of which were never mentioned in the scientific literature [Balaenoptera musculus, Balaenoptera edeni (record made in 2021)] and five species were only mentioned in the gray literature. Previous assessments were restricted in time, published in the gray literature, and only reported six and 11 species. So, social media was essential to obtain the first broadscale and long-term assessment of cetaceans’ diversity off the Algarve. The main advantages of iEcology were the possibility to obtain data collected over one decade and its low cost. The main disadvantages are the impossibility to obtain georeferenced records from social media, the difficulty to estimate the number of individuals in large groups, and the presence of rare species can be inflated if multiple whale-watching companies report the same individual(s) while they migrate along the coast. Nonetheless, these disadvantages can be mitigated. Overall, we endorse the use of iEcology to increase the ecological knowledge about cetaceans which might be the only tool to study them in numerous regions across the world. The contributions of whale-watching companies are invaluable, so we recommend the implementation of a standardized cetacean observation log as a relevant source of data for conservation.

Top predator status and trends: ecological implications, monitoring and mitigation strategies to promote ecosystem-based management

“…From one side, hyper-connectivity through social media and digital platforms can boost citizen/ community science programs by increasing engagement and participation. On the other hand, passive mining of the digital activity of users can complement traditional methods in tracking the occurrence of top predators (Morais et al, 2021;Sbragaglia et al, 2024). The main advantages of emerging digital monitoring are reduced data collection costs and almost real-time data (Lennox et al, 2022).…”

Probing Tagore in 21st-century Bangladesh: Shifting Faces of Metaphysical Reality and the Role of New Media

“…In visual communication design, the application of new media has been proven to be essential for optimising the benefits of visual communication, though previous works have not identified a substantial effect of new media applications on visual communication design (Yu et al, 2022). The new media has been termed to contain a particular type of intelligence that is termed as open-source intelligence and studies, like Morais et al (2021) and Awais et al (2022), have discovered that the social media has power beyond the control of rapid human intervention and policy implementation. New media has had a substantial influence on election campaigns, critical policy decisions, and the conduct and activities of political officials (Axford & Huggins, 2001).…”

Identificação de Ocorrências do Cnidário Physalia physalis em Dados Extraídos de Mídias Sociais

“…Diversos trabalhos ressaltam as vantagens e possibilidades para a utilizac ¸ão de dados involuntários para tarefas relacionadas à ciência da conservac ¸ão [Edwards et al 2021, Morais et al 2021. Também há um número de estudos que aplicam a AM para detectar aspectos do meio-ambiente, tais como [Foglio 2019].…”

“…Entre as vantagens resultantes da utilizac ¸ão de dados de mídias sociais, estão: conteúdo abundante e quase sempre público [Edwards et al 2021]; abordagem menos trabalhosa, menos demorada e com custo menor, especialmente se for automatizada, em comparac ¸ão a métodos tradicionais ou mesmo a campanhas de ciência cidadã [Edwards et al 2021]; dados disponíveis quase em tempo real e de maneira contínua [Edwards et al 2021]; e aquisic ¸ão de dados com amplo escopo geográfico [Morais et al 2021]. Além disso, o uso de ferramentas de tecnologia da informac ¸ão, como a Aprendizagem de Máquina (AM), permite aproveitar o potencial dos dados de mídias sociais e transformá-los em informac ¸ões úteis.…”