Internet-based monitoring of public perception of conservation

Soriano‐Redondo, Andrea; Bearhop, Stuart; Lock, Leigh; Votier, Stephen C.; Hilton, Geoff M.

doi:10.1016/j.biocon.2016.11.031

Cited by 40 publications

(19 citation statements)

References 31 publications

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“…The use of Google Trends in this context is well-established (Proulx et al 2014) and has been used to gauge public awareness and interest in a number of other conservation contexts (e.g. Do et al 2014, Nghiem et al 2016, Soriano-Redondo et al 2016, Braczkowski et al 2018. Finally, we used outlier detection in time series analysis to identify (1) monthly peaks in public interest, 2005-2016 and (2) daily peaks in social and editorial media activity and weekly peaks in public interest, 2015-2016 and, for both, assessed temporal co-occurrence amongst datasets and with events.…”

Section: Methodsmentioning

confidence: 99%

Rise to fame: events, media activity and public interest in pangolins and pangolin trade, 2005–2016

Harrington¹,

D’Cruze²,

Macdonald³

2018

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Attention focused on pangolins (Pholidota) and the threats posed to their survival and welfare by international trade (for use in Chinese Traditional Medicine and the Asian wild meat market) has skyrocketed across all digital information platforms over the last decade. Previously obscure and often referred to as the ‘mammal you’ve never heard of’, pangolins are now widely recognised as an icon of the illegal wildlife trade. We document the events that led to the pangolins’ ‘rise to fame’, culminating in its Appendix I listing by CITES in September 2016 and a global commercial trade ban and explore temporal co-occurrence between events and peaks in media activity and public interest with the aim of identifying events (or types of events) that may have been influential in terms of awareness-raising. More broadly, our objective was to highlight lessons in public communication that might be applied to awareness campaigns for other lesser-known threatened species. We found no evidence that any particular type of event was more likely to generate a significant media/public response than any other, but peaks in public interest co-occurred with reports of pangolin seizures, highlighting the importance of news coverage of these incidents. Further, although neither editorial nor social media peaks were strongly correlated with the timing of events, they sometimes co-occurred with different events and each differed in their coverage of different types of events, suggesting that editorial and social media have independent and distinct roles to play in conservation communication. However, despite their iconic status, public interest in pangolins is still not equivalent to that directed at, for example, tigers, elephants or lions, so efforts need to be sustained. Finally, we note that, although attention can help to generate funds and influence policy, this alone will not be enough to achieve a favourable conservation status for pangolins – on-going and future work need to ensure that public enthusiasm for this species is translated into effective protection.

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Section: Methodsmentioning

confidence: 99%

Rise to fame: events, media activity and public interest in pangolins and pangolin trade, 2005–2016

Harrington¹,

D’Cruze²,

Macdonald³

2018

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“…Google Analytics can visualize the result obtained from the data collected through the implementation of the Global Site Tag element attached to our website. Google Analytics has been used to track visitors in website traffics (Soriano-Redondo et al, 2017;Wozney et al, 2019). Web administrator can then view the report and monitor their visitors via dashboard based on the filtering options chosen.…”

Section: Methodsmentioning

confidence: 99%

Analyzing User Behaviour and Page Views Based on Visitor Traffic in Kolej Universiti Poly-Tech Mara Website Using Google Analytic

Othman

Adnan

Khairuzzaman

et al. 2020

MJoC

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The approach of the Internet has affected organizations in numerous features. The website has become an integral part of the organizations, from publicizing the organization's profile to giving web services. This study is to evaluate and analyze user behaviour pattern at Kolej Universiti Poly-Tech MARA (KUPTM) website using Google Analytics (GA) as one of the web analytic tools. Website design and its services have become a crucial part for Higher Education Institutions (HEIs) to attract users in visiting their website. Therefore, the use of web analytic tools can be an effective solution in measuring, analyzing and identifying the traffic sources for a website. Google tag was added to all KUPTM’s website and the measurement periods has been done between May 2019 and October 2019. Results have shown that the number of visitors is significantly higher during the weekdays and are affected by external stimulus. An external stimulus, such as promotional activities would increase the number of website visitors. The visit trends show weekly fluctuation in the numbers. It records high numbers of visits during the weekdays and fewer visitors during the weekend. The fluctuation could be due to the number of visits were from internal users, i.e. KUPTM employees and students. The capability of Google Analytics to analyze website traffics in terms of collecting data regarding page views, user interaction flow and visitor behaviour will benefit the organization for making a decision.

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“…This makes it possible to understand the context in which a search term is being used, and to create a refined search string that excludes irrelevant searches. Google Trends has previously been used for diverse research purposes (Jun et al, 2018), including in studies of epidemiology (Mavragani et al, 2018), politics (Mellon, 2014) and tourism (Li et al, 2018), as well as for assessing interest in, and awareness of, nature, protected areas and environmental issues (Cooper et al, 2019;Correia et al, 2018;Fukano et al, 2020;Le Nghiem et al, 2016;Mccallum & Bury, 2013;Proulx et al, 2014;Rousseau & Deschacht, 2020;Soriano-Redondo et al, 2017;Souza et al, 2021).…”

Section: Introductionmentioning

confidence: 99%