The presented list does not represent an endorsement of the papers or their content
2021
Al Mabruk, S.A.A., Abdulghani, A., Nour, O.M., Adel, M., Crocetta, F., Doumpas, N., Kleitou, P., Tiralongo, F., 2021. The role of social media in compensating for the lack of field studies: five new fish species for the Mediterranean Egypt. Journal of Fish Biology.
Barahona-Segovia, R.M., Montenegro, R., González G, R., 2021. Environmental variables and distribution data support the preliminary conservation status of a trapdoor spider in a transformed coastal ecosystem. Journal for Nature Conservation 61, 125985.
Panter, C.T., Amar, A., 2021. Sex and age differences in the diet of the Eurasian Sparrowhawk (Accipiter nisus) using web-sourced photographs: exploring the feasibility of a new citizen science approach. Ibis.
Correia, R.A., Ladle, R., Roll, U., 2021. Special Section: Advancing Conservation Culturomics- Introduction. Conservation Biology.
Correia, R.A., Ladle, R., Jarić, I., Malhado, A.C.M., Mittermeier, J.C., Roll, U., Soriano-Redondo, A., Veríssimo, D., Fink, C., Hausmann, A., Guedes-Santos, J., Vardi, R., Di Minin, E., 2021. Digital data sources and methods for conservation culturomics. Conservation Biology.
Di Minin, E., Fink, C., Hausmann, A., Kremer, J., Kulkarni, R., 2021. How to address data privacy concerns when using social media data in conservation science. Conservation Biology.
Jarić, I., Bellard, C., Correia, R.A., Courchamp, F., Douda, K., Essl, F., Jeschke, J.M., Kalinkat, G., Kalous, L., Lennox, R.J., Novoa, A., Proulx, R., Pyšek, P., Soriano–Redondo, A., Souza, A.T., Vardi, R., Veríssimo, D., Roll, U., 2021. Invasion Culturomics and iEcology. Conservation Biology.
Kulkarni, R., Di Minin, E., Automated retrieval of information on threatened species from online sources using machine learning. Methods in Ecology and Evolution.
Liu, Y., Fang, X., Dai, J., Wang, H., Tao, Z., 2021. Could phenological records from Chinese poems of the Tang and Song dynasties (618–1279 CE) be reliable evidence of past climate changes? Climate of the Past 17, 929-950.
Magalhães, A.L.B., Azevedo-Santos, V.M., Pelicice, F.M., 2021. Caught in the act: Youtube™ reveals invisible fish invasion pathways in Brazil. Journal of Applied Ichthyology.
Mittermeier, J.C., Roll, U., Matthews, T.J., Correia, R., Grenyer, R., 2021 Birds that are more commonly encountered in the wild attract higher public interest online. Conservation Science and Practice, e340.
Mittermeier, J.C., Correia, R., Grenyer, R., Toivonen, T., Roll, U., Using Wikipedia to measure public interest in biodiversity and conservation. Conservation Biology.
Panter, C.T., Amar, A., 2021 Sex and age differences in the diet of the Eurasian Sparrowhawk (Accipiter nisus) using web-sourced photographs: exploring the feasibility of a new citizen science approach. Ibis, DOI: 10.1111/ibi.12918
Papafitsoros, K., Panagopoulou, A., Schofield, G., Social media reveals consistently disproportionate tourism pressure on a threatened marine vertebrate. Animal Conservation.
Poulin, R., Bennett, J., Filion, A., Bhattarai, U.R., Chai, X., de Angeli Dutra, D., Donlon, E., Doherty, J.-F., Jorge, F., Milotic, M., Park, E., Sabadel, A., Thomas, L.J., 2021. iParasitology: Mining the Internet to Test Parasitological Hypotheses. Trends in Parasitology.
Sbragaglia, V., Coco, S., Correia, R.A., Coll, M., Arlinghaus, R., 2021. Analyzing publicly available videos about recreational fishing reveals key ecological and social insights: A case study about groupers in the Mediterranean Sea. Science of the Total Environment 765, 142672.
Väisänen, T., Heikinheimo, V., Hiippala, T., Toivonen, T., 2021. Exploring human–nature interactions in national parks with social media photographs and computer vision. Conservation Biology.
Vardi, R., Mittermeier, J.C., Roll, U., 2021. Combining culturomic sources to uncover trends in popularity and seasonal interest in plants. Conservation Biology.
Barahona-Segovia, R.M., Montenegro, R., González G, R., 2021. Environmental variables and distribution data support the preliminary conservation status of a trapdoor spider in a transformed coastal ecosystem. Journal for Nature Conservation 61, 125985.
Panter, C.T., Amar, A., 2021. Sex and age differences in the diet of the Eurasian Sparrowhawk (Accipiter nisus) using web-sourced photographs: exploring the feasibility of a new citizen science approach. Ibis.
Correia, R.A., Ladle, R., Roll, U., 2021. Special Section: Advancing Conservation Culturomics- Introduction. Conservation Biology.
Correia, R.A., Ladle, R., Jarić, I., Malhado, A.C.M., Mittermeier, J.C., Roll, U., Soriano-Redondo, A., Veríssimo, D., Fink, C., Hausmann, A., Guedes-Santos, J., Vardi, R., Di Minin, E., 2021. Digital data sources and methods for conservation culturomics. Conservation Biology.
Di Minin, E., Fink, C., Hausmann, A., Kremer, J., Kulkarni, R., 2021. How to address data privacy concerns when using social media data in conservation science. Conservation Biology.
Jarić, I., Bellard, C., Correia, R.A., Courchamp, F., Douda, K., Essl, F., Jeschke, J.M., Kalinkat, G., Kalous, L., Lennox, R.J., Novoa, A., Proulx, R., Pyšek, P., Soriano–Redondo, A., Souza, A.T., Vardi, R., Veríssimo, D., Roll, U., 2021. Invasion Culturomics and iEcology. Conservation Biology.
Kulkarni, R., Di Minin, E., Automated retrieval of information on threatened species from online sources using machine learning. Methods in Ecology and Evolution.
Liu, Y., Fang, X., Dai, J., Wang, H., Tao, Z., 2021. Could phenological records from Chinese poems of the Tang and Song dynasties (618–1279 CE) be reliable evidence of past climate changes? Climate of the Past 17, 929-950.
Magalhães, A.L.B., Azevedo-Santos, V.M., Pelicice, F.M., 2021. Caught in the act: Youtube™ reveals invisible fish invasion pathways in Brazil. Journal of Applied Ichthyology.
Mittermeier, J.C., Roll, U., Matthews, T.J., Correia, R., Grenyer, R., 2021 Birds that are more commonly encountered in the wild attract higher public interest online. Conservation Science and Practice, e340.
Mittermeier, J.C., Correia, R., Grenyer, R., Toivonen, T., Roll, U., Using Wikipedia to measure public interest in biodiversity and conservation. Conservation Biology.
Panter, C.T., Amar, A., 2021 Sex and age differences in the diet of the Eurasian Sparrowhawk (Accipiter nisus) using web-sourced photographs: exploring the feasibility of a new citizen science approach. Ibis, DOI: 10.1111/ibi.12918
Papafitsoros, K., Panagopoulou, A., Schofield, G., Social media reveals consistently disproportionate tourism pressure on a threatened marine vertebrate. Animal Conservation.
Poulin, R., Bennett, J., Filion, A., Bhattarai, U.R., Chai, X., de Angeli Dutra, D., Donlon, E., Doherty, J.-F., Jorge, F., Milotic, M., Park, E., Sabadel, A., Thomas, L.J., 2021. iParasitology: Mining the Internet to Test Parasitological Hypotheses. Trends in Parasitology.
Sbragaglia, V., Coco, S., Correia, R.A., Coll, M., Arlinghaus, R., 2021. Analyzing publicly available videos about recreational fishing reveals key ecological and social insights: A case study about groupers in the Mediterranean Sea. Science of the Total Environment 765, 142672.
Väisänen, T., Heikinheimo, V., Hiippala, T., Toivonen, T., 2021. Exploring human–nature interactions in national parks with social media photographs and computer vision. Conservation Biology.
Vardi, R., Mittermeier, J.C., Roll, U., 2021. Combining culturomic sources to uncover trends in popularity and seasonal interest in plants. Conservation Biology.
2020
August, T.A., Pescott, O.L., Joly, A., Bonnet, P., 2020. AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery. Patterns 1, 100116.
Breckheimer IK, Theobald EJ, Cristea NC, Wilson AK, Lundquist JD, Rochefort RM, HilleRisLambers J. 2020. Crowd-sourced data reveal social–ecological mismatches in phenology driven by climate. Frontiers in Ecology and the Environment 18:76-82.
Cloutier, T.L., Rasmussen, G.S.A., Giordano, A.J., Kaplin, B.A., Willey, L., 2020. Digital conservation: using social media to investigate the scope of African painted dog den disturbance by humans. Human Dimensions of Wildlife, 1-11.
Ghimire, P., Thakuri, R., Basnet, A., Pandey, N., Bist, B.S., Sharma, B., Bhusal, K.P., 2020. Spatial-temporal analysis of vulture related content in social media. Bird Conservation Nepal 9, 8-12.
Giovos, I., Arculeo, M., Doumpas, N., Katsada, D., Maximiadi, M., Mitsou, Ε., Paravas, V., Naasan Aga-Spyridopoulou, R., Stoilas, V.-O., Tiralongo, F., Tsamadias, I.Ε., Vecchioni, L., Moutopoulos, D.K., 2020. Assessing multiple sources of data to detect illegal fishing, trade and mislabelling of elasmobranchs in Greek markets. Marine Policy 112, 103730.
Gutiérrez, J.S., Soriano-Redondo, A., 2020. Laterality in foraging phalaropes promotes phenotypically assorted groups. Behavioral Ecology.
Jarić I, et al. 2020. iEcology: Harnessing Large Online Resources to Generate Ecological Insights. Trends in Ecology & Evolution, 35, 630-639.
Jarić, I., et al., 2020. Expanding conservation culturomics and iEcology from terrestrial to aquatic realms. PLoS Biology 18, e3000935.
Jeawak, S.S., Jones, C.B., Schockaert, S., 2020. Predicting the environment from social media: A collective classification approach. Computers, Environment and Urban Systems 82, 101487.
Mammola, S., Riccardi, N., Prié, V., Correia, R., Cardoso, P., Lopes-Lima, M., Sousa, R., 2020. Towards a taxonomically unbiased European Union biodiversity strategy for 2030. Proceedings of the Royal Society B: Biological Sciences 287, 20202166.
Maritz, R.A., Maritz, B., 2020. Sharing for science: high-resolution trophic interactions revealed rapidly by social media. PeerJ 8, e9485.
Marshall, B.M., Freed, P., Vitt, L.J., Bernardo, P., Vogel, G., Lotzkat, S., Franzen, M., Hallermann, J., Sage, R.D., Bush, B., Duarte, M.R., Avila, L.J., Jandzik, D., Klusmeyer, B., Maryan, B., Hošek, J., Uetz, P., 2020. An inventory of online reptile images. Zootaxa 4896, 14.
McDavitt, M.T., Kyne, P.M., Social media posts reveal the geographic range of the Critically Endangered clown wedgefish, Rhynchobatus cooki. Journal of Fish Biology.
Mills, L.J., Wilson, J.D., Lange, A., Moore, K., Henwood, B., Knipe, H., Chaput, D.L., Tyler, C.R., 2020. Using molecular and crowd‐sourcing methods to assess breeding ground diet of a migratory brood parasite of conservation concern. Journal of Avian Biology 51.
Nunes, J.A.C.C., Cruz, I.C.S., Nunes, A., Pinheiro, H.T., 2020. Speeding up coral reef conservation with AI-aided automated image analysis. Nature Machine Intelligence, doi.org/10.1038/s42256-020-0192-3
Rothman SBS, Gayer K, Stern N. 2020. A long-distance traveler: the peacock rockskipper Istiblennius meleagris (Valenciennes, 1836) on the Mediterranean intertidal reefs. Biological Invasions. https://doi.org/10.1007/s10530-020-02277-7
Santamaria S, Enghoff H, Reboleira AS. 2020. The first Laboulbeniales (Ascomycota, Laboulbeniomycetes) from an American millipede, discovered through social media. MycoKeys 67.
Schuetz, J.G., Johnston, A., 2021. Tracking the cultural niches of North American birds through time. People and Nature.
Sethi, S.S., Jones, N.S., Fulcher, B.D., Picinali, L., Clink, D.J., Klinck, H., Orme, C.D.L., Wrege, P.H., Ewers, R.M., 2020. Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set. Proceedings of the National Academy of Sciences 117, 17049-17055.
Taklis, C., Giovos, I., Karamanlidis, A.A., 2020. Social media: a valuable tool to inform shark conservation in Greece. Mediterranean Marine Science 21, 493-498.
Zbyryt, A., Mikula, P., Ciach, M., Morelli, F., Tryjanowski, P., A large‐scale survey of bird plumage colour aberrations reveals a collection bias in Internet‐mined photographs. Ibis. doi.org/10.1111/ibi.12872
Breckheimer IK, Theobald EJ, Cristea NC, Wilson AK, Lundquist JD, Rochefort RM, HilleRisLambers J. 2020. Crowd-sourced data reveal social–ecological mismatches in phenology driven by climate. Frontiers in Ecology and the Environment 18:76-82.
Cloutier, T.L., Rasmussen, G.S.A., Giordano, A.J., Kaplin, B.A., Willey, L., 2020. Digital conservation: using social media to investigate the scope of African painted dog den disturbance by humans. Human Dimensions of Wildlife, 1-11.
Ghimire, P., Thakuri, R., Basnet, A., Pandey, N., Bist, B.S., Sharma, B., Bhusal, K.P., 2020. Spatial-temporal analysis of vulture related content in social media. Bird Conservation Nepal 9, 8-12.
Giovos, I., Arculeo, M., Doumpas, N., Katsada, D., Maximiadi, M., Mitsou, Ε., Paravas, V., Naasan Aga-Spyridopoulou, R., Stoilas, V.-O., Tiralongo, F., Tsamadias, I.Ε., Vecchioni, L., Moutopoulos, D.K., 2020. Assessing multiple sources of data to detect illegal fishing, trade and mislabelling of elasmobranchs in Greek markets. Marine Policy 112, 103730.
Gutiérrez, J.S., Soriano-Redondo, A., 2020. Laterality in foraging phalaropes promotes phenotypically assorted groups. Behavioral Ecology.
Jarić I, et al. 2020. iEcology: Harnessing Large Online Resources to Generate Ecological Insights. Trends in Ecology & Evolution, 35, 630-639.
Jarić, I., et al., 2020. Expanding conservation culturomics and iEcology from terrestrial to aquatic realms. PLoS Biology 18, e3000935.
Jeawak, S.S., Jones, C.B., Schockaert, S., 2020. Predicting the environment from social media: A collective classification approach. Computers, Environment and Urban Systems 82, 101487.
Mammola, S., Riccardi, N., Prié, V., Correia, R., Cardoso, P., Lopes-Lima, M., Sousa, R., 2020. Towards a taxonomically unbiased European Union biodiversity strategy for 2030. Proceedings of the Royal Society B: Biological Sciences 287, 20202166.
Maritz, R.A., Maritz, B., 2020. Sharing for science: high-resolution trophic interactions revealed rapidly by social media. PeerJ 8, e9485.
Marshall, B.M., Freed, P., Vitt, L.J., Bernardo, P., Vogel, G., Lotzkat, S., Franzen, M., Hallermann, J., Sage, R.D., Bush, B., Duarte, M.R., Avila, L.J., Jandzik, D., Klusmeyer, B., Maryan, B., Hošek, J., Uetz, P., 2020. An inventory of online reptile images. Zootaxa 4896, 14.
McDavitt, M.T., Kyne, P.M., Social media posts reveal the geographic range of the Critically Endangered clown wedgefish, Rhynchobatus cooki. Journal of Fish Biology.
Mills, L.J., Wilson, J.D., Lange, A., Moore, K., Henwood, B., Knipe, H., Chaput, D.L., Tyler, C.R., 2020. Using molecular and crowd‐sourcing methods to assess breeding ground diet of a migratory brood parasite of conservation concern. Journal of Avian Biology 51.
Nunes, J.A.C.C., Cruz, I.C.S., Nunes, A., Pinheiro, H.T., 2020. Speeding up coral reef conservation with AI-aided automated image analysis. Nature Machine Intelligence, doi.org/10.1038/s42256-020-0192-3
Rothman SBS, Gayer K, Stern N. 2020. A long-distance traveler: the peacock rockskipper Istiblennius meleagris (Valenciennes, 1836) on the Mediterranean intertidal reefs. Biological Invasions. https://doi.org/10.1007/s10530-020-02277-7
Santamaria S, Enghoff H, Reboleira AS. 2020. The first Laboulbeniales (Ascomycota, Laboulbeniomycetes) from an American millipede, discovered through social media. MycoKeys 67.
Schuetz, J.G., Johnston, A., 2021. Tracking the cultural niches of North American birds through time. People and Nature.
Sethi, S.S., Jones, N.S., Fulcher, B.D., Picinali, L., Clink, D.J., Klinck, H., Orme, C.D.L., Wrege, P.H., Ewers, R.M., 2020. Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set. Proceedings of the National Academy of Sciences 117, 17049-17055.
Taklis, C., Giovos, I., Karamanlidis, A.A., 2020. Social media: a valuable tool to inform shark conservation in Greece. Mediterranean Marine Science 21, 493-498.
Zbyryt, A., Mikula, P., Ciach, M., Morelli, F., Tryjanowski, P., A large‐scale survey of bird plumage colour aberrations reveals a collection bias in Internet‐mined photographs. Ibis. doi.org/10.1111/ibi.12872
2019
Allain S. 2019. Mining Flickr: a method for expanding the known distribution of invasive species. Herpetological Bulletin 148:11-14.
Becken S, Connolly RM, Chen J, Stantic B. 2019. A hybrid is born: Integrating collective sensing, citizen science and professional monitoring of the environment. Ecological informatics 52:35-45.
Correia RA, Di Minin E, Jarić I, Jepson P, Ladle R, Mittermeier J, Roll U, Soriano‐Redondo A, Veríssimo D. 2019. Inferring public interest from search engine data requires caution. Frontiers in Ecology and the Environment 17.
Elmer F, Kohl ZF, Johnson PT, Peachey RB. 2019. Black spot syndrome in reef fishes: using archival imagery and field surveys to characterize spatial and temporal distribution in the Caribbean. Coral Reefs 38:1303-1315.
Foglio M, Semeria L, Muscioni G, Pressiani R, Berger-Wolf T 2019. Animal Wildlife Population Estimation Using Social Media Images Collections. arXiv preprint 1908.01875.
Francis FT, et al. 2019. Shifting headlines? Size trends of newsworthy fishes. PeerJ 7:e6395.
Fukano Y, Soga M. 2019. Spatio-temporal dynamics and drivers of public interest in invasive alien species. Biological Invasions 21:3521-3532.
Ghermandi A, Sinclair M. 2019. Passive crowdsourcing of social media in environmental research: A systematic map. Global Environmental Change 55:36-47.
Giovos, I., Stoilas, V.-O., Al-Mabruk, S.A., Doumpas, N., Marakis, P., Maximiadi, M., Moutopoulos, D., Kleitou, P., Keramidas, I., Tiralongo, F., de Maddalena, A., 2019. Integrating local ecological knowledge, citizen science and long-term historical data for endangered species conservation: Additional records of angel sharks (Chondrichthyes: Squatinidae) in the Mediterranean Sea. Aquatic Conservation: Marine and Freshwater Ecosystems 29, 881-890.
Jagiello ZA, Dyderski MK, Dylewski Ł. 2019. What can we learn about the behaviour of red and grey squirrels from YouTube? Ecological informatics 51:52-60.
Jiménez-Alvarado D, Sarmiento-Lezcano A, Guerra-Marrero A, Tuya F, Santana Del Pino Á, Sealey MJ, Castro JJ. Historical photographs of captures of recreational fishers indicate overexploitation of nearshore resources at an oceanic island. Journal of Fish Biology.
Jiménez‐Valverde A, Peña‐Aguilera P, Barve V, Burguillo‐Madrid L. 2019. Photo‐sharing platforms key for characterising niche and distribution in poorly studied taxa. Insect Conservation and Diversity 12:389-403.
Kaur KM, Malé P-JG, Spence E, Gomez C, Frederickson ME. 2019. Using text-mined trait data to test for cooperate-and-radiate co-evolution between ants and plants. PLoS computational biology 15.
Ladle RJ, Jepson P, Correia RA, Malhado ACM. 2019. A culturomics approach to quantifying the salience of species on the global internet. People and Nature 1:524-532.
Lamba, A., Cassey, P., Segaran, R.R., Koh, L.P., 2019. Deep learning for environmental conservation. Current Biology 29, R977-R982.
Mittermeier JC, Roll U, Matthews TJ, Grenyer R. 2019. A season for all things: phenological imprints in Wikipedia usage and their relevance to conservation. PLoS Biology 17:e3000146.
Pace DS, Giacomini G, Campana I, Paraboschi M, Pellegrino G, Silvestri M, Alessi J, Angeletti D, Cafaro V, Pavan G. 2019. An integrated approach for cetacean knowledge and conservation in the central Mediterranean Sea using research and social media data sources. Aquatic Conservation: Marine and Freshwater Ecosystems 29:1302-1323.
Rahayu S, Rodda M. 2019. Hoya amicabilis sp. nov.(Apocynaceae, Asclepiadoideae), from Java discovered on Facebook. Nordic Journal of Botany 37.
Schuetz JG, Johnston A. 2019. Characterizing the cultural niches of North American birds. Proceedings of the National Academy of Sciences 116:10868-10873.
Sullivan M, Robinson S, Littnan C. 2019. Social media as a data resource for# monkseal conservation. PloS one 14.
Wearn OR, Freeman R, Jacoby DM. 2019. Responsible AI for conservation. Nature Machine Intelligence 1:72-73.
Becken S, Connolly RM, Chen J, Stantic B. 2019. A hybrid is born: Integrating collective sensing, citizen science and professional monitoring of the environment. Ecological informatics 52:35-45.
Correia RA, Di Minin E, Jarić I, Jepson P, Ladle R, Mittermeier J, Roll U, Soriano‐Redondo A, Veríssimo D. 2019. Inferring public interest from search engine data requires caution. Frontiers in Ecology and the Environment 17.
Elmer F, Kohl ZF, Johnson PT, Peachey RB. 2019. Black spot syndrome in reef fishes: using archival imagery and field surveys to characterize spatial and temporal distribution in the Caribbean. Coral Reefs 38:1303-1315.
Foglio M, Semeria L, Muscioni G, Pressiani R, Berger-Wolf T 2019. Animal Wildlife Population Estimation Using Social Media Images Collections. arXiv preprint 1908.01875.
Francis FT, et al. 2019. Shifting headlines? Size trends of newsworthy fishes. PeerJ 7:e6395.
Fukano Y, Soga M. 2019. Spatio-temporal dynamics and drivers of public interest in invasive alien species. Biological Invasions 21:3521-3532.
Ghermandi A, Sinclair M. 2019. Passive crowdsourcing of social media in environmental research: A systematic map. Global Environmental Change 55:36-47.
Giovos, I., Stoilas, V.-O., Al-Mabruk, S.A., Doumpas, N., Marakis, P., Maximiadi, M., Moutopoulos, D., Kleitou, P., Keramidas, I., Tiralongo, F., de Maddalena, A., 2019. Integrating local ecological knowledge, citizen science and long-term historical data for endangered species conservation: Additional records of angel sharks (Chondrichthyes: Squatinidae) in the Mediterranean Sea. Aquatic Conservation: Marine and Freshwater Ecosystems 29, 881-890.
Jagiello ZA, Dyderski MK, Dylewski Ł. 2019. What can we learn about the behaviour of red and grey squirrels from YouTube? Ecological informatics 51:52-60.
Jiménez-Alvarado D, Sarmiento-Lezcano A, Guerra-Marrero A, Tuya F, Santana Del Pino Á, Sealey MJ, Castro JJ. Historical photographs of captures of recreational fishers indicate overexploitation of nearshore resources at an oceanic island. Journal of Fish Biology.
Jiménez‐Valverde A, Peña‐Aguilera P, Barve V, Burguillo‐Madrid L. 2019. Photo‐sharing platforms key for characterising niche and distribution in poorly studied taxa. Insect Conservation and Diversity 12:389-403.
Kaur KM, Malé P-JG, Spence E, Gomez C, Frederickson ME. 2019. Using text-mined trait data to test for cooperate-and-radiate co-evolution between ants and plants. PLoS computational biology 15.
Ladle RJ, Jepson P, Correia RA, Malhado ACM. 2019. A culturomics approach to quantifying the salience of species on the global internet. People and Nature 1:524-532.
Lamba, A., Cassey, P., Segaran, R.R., Koh, L.P., 2019. Deep learning for environmental conservation. Current Biology 29, R977-R982.
Mittermeier JC, Roll U, Matthews TJ, Grenyer R. 2019. A season for all things: phenological imprints in Wikipedia usage and their relevance to conservation. PLoS Biology 17:e3000146.
Pace DS, Giacomini G, Campana I, Paraboschi M, Pellegrino G, Silvestri M, Alessi J, Angeletti D, Cafaro V, Pavan G. 2019. An integrated approach for cetacean knowledge and conservation in the central Mediterranean Sea using research and social media data sources. Aquatic Conservation: Marine and Freshwater Ecosystems 29:1302-1323.
Rahayu S, Rodda M. 2019. Hoya amicabilis sp. nov.(Apocynaceae, Asclepiadoideae), from Java discovered on Facebook. Nordic Journal of Botany 37.
Schuetz JG, Johnston A. 2019. Characterizing the cultural niches of North American birds. Proceedings of the National Academy of Sciences 116:10868-10873.
Sullivan M, Robinson S, Littnan C. 2019. Social media as a data resource for# monkseal conservation. PloS one 14.
Wearn OR, Freeman R, Jacoby DM. 2019. Responsible AI for conservation. Nature Machine Intelligence 1:72-73.
2018
Chamberlain J. 2018. Using Social Media for Biomonitoring: How Facebook, Twitter, Flickr and Other Social Networking Platforms Can Provide Large-Scale Biodiversity Data. Pages 133-168 in Bohan DA, Dumbrell AJ, Woodward G, and Jackson M, editors. Advances in Ecological Research. Academic Press.
De Frenne P, Van Langenhove L, Van Driessche A, Bertrand C, Verheyen K, Vangansbeke P. 2018. Using archived television video footage to quantify phenology responses to climate change. Methods in Ecology and Evolution 9:1874-1882.
Di Minin E, Fink C, Tenkanen H, Hiippala T. 2018. Machine learning for tracking illegal wildlife trade on social media. Nature Ecology & Evolution 2:406-407.
Fellenor J, Barnett J, Potter C, Urquhart J, Mumford JD, Quine CP. 2018. The social amplification of risk on Twitter: the case of ash dieback disease in the United Kingdom. Journal of Risk Research 21:1163-1183.
Giovos, I., Chatzispyrou, A., Doumpas, N., Stoilas, V., Moutopoulos, D.K., 2018. Using unconventional sources of information for identifying critical areas for the endangered guitarfish in Greece. Journal of the Black Sea/Mediterranean Environment 24, 38-50.
Giovos, I., Keramidas, I., Antoniou, C., Deidun, A., Font, T., Kleitou, P., Lloret, J., Matić-Skoko, S., Said, A., Tiralongo, F., Moutopoulos, D.K., 2018. Identifying recreational fisheries in the Mediterranean Sea through social media. Fisheries Management and Ecology 25, 287-295.
Hart AG, Carpenter WS, Hlustik‐Smith E, Reed M, Goodenough AE. 2018. Testing the potential of Twitter mining methods for data acquisition: Evaluating novel opportunities for ecological research in multiple taxa. Methods in Ecology and Evolution 9:2194-2205.
Jeawak S, Jones C, Schockaert S. 2018. Mapping wildlife species distribution with social media: Augmenting text classification with species names. In 10th International Conference on Geographic Information Science (GIScience 2018) (Winter, S. et al., eds.), pp. 45:1–45:6
Kalous L, Nechanská D, Petrtýl M. 2018. Survey of angler's internet posts confirmed the occurrence of freshwater fishes of the genus Ictiobus (Rafinesque, 1819) in natural waters of Czechia. Knowl. Manag. Aquat. Ecosyst.:29.
Menon S, Berger-Wolf T, Kiciman E, Joppa L, Stewart CV, Parham J, Crall J, Holmberg J, Van Oast J. 2018. Animal Population Estimation Using Flickr Images. Association for Computing Machinery Conference 2017.
Mikula P, Hadrava J, Albrecht T, Tryjanowski P. 2018. Large-scale assessment of commensalistic-mutualistic associations between African birds and herbivorous mammals using internet photos. PeerJ 6:e4520.
Monkman GG, Kaiser M, Hyder K. 2018. The ethics of using social media in fisheries research. Reviews in Fisheries Science & Aquaculture 26:235-242.
Norouzzadeh MS, Nguyen A, Kosmala M, Swanson A, Palmer MS, Packer C, Clune J. 2018. Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences 115:E5716-E5725.
Wäldchen, J., Mäder, P., 2018. Machine learning for image based species identification. Methods in Ecology and Evolution 9, 2216-2225.
De Frenne P, Van Langenhove L, Van Driessche A, Bertrand C, Verheyen K, Vangansbeke P. 2018. Using archived television video footage to quantify phenology responses to climate change. Methods in Ecology and Evolution 9:1874-1882.
Di Minin E, Fink C, Tenkanen H, Hiippala T. 2018. Machine learning for tracking illegal wildlife trade on social media. Nature Ecology & Evolution 2:406-407.
Fellenor J, Barnett J, Potter C, Urquhart J, Mumford JD, Quine CP. 2018. The social amplification of risk on Twitter: the case of ash dieback disease in the United Kingdom. Journal of Risk Research 21:1163-1183.
Giovos, I., Chatzispyrou, A., Doumpas, N., Stoilas, V., Moutopoulos, D.K., 2018. Using unconventional sources of information for identifying critical areas for the endangered guitarfish in Greece. Journal of the Black Sea/Mediterranean Environment 24, 38-50.
Giovos, I., Keramidas, I., Antoniou, C., Deidun, A., Font, T., Kleitou, P., Lloret, J., Matić-Skoko, S., Said, A., Tiralongo, F., Moutopoulos, D.K., 2018. Identifying recreational fisheries in the Mediterranean Sea through social media. Fisheries Management and Ecology 25, 287-295.
Hart AG, Carpenter WS, Hlustik‐Smith E, Reed M, Goodenough AE. 2018. Testing the potential of Twitter mining methods for data acquisition: Evaluating novel opportunities for ecological research in multiple taxa. Methods in Ecology and Evolution 9:2194-2205.
Jeawak S, Jones C, Schockaert S. 2018. Mapping wildlife species distribution with social media: Augmenting text classification with species names. In 10th International Conference on Geographic Information Science (GIScience 2018) (Winter, S. et al., eds.), pp. 45:1–45:6
Kalous L, Nechanská D, Petrtýl M. 2018. Survey of angler's internet posts confirmed the occurrence of freshwater fishes of the genus Ictiobus (Rafinesque, 1819) in natural waters of Czechia. Knowl. Manag. Aquat. Ecosyst.:29.
Menon S, Berger-Wolf T, Kiciman E, Joppa L, Stewart CV, Parham J, Crall J, Holmberg J, Van Oast J. 2018. Animal Population Estimation Using Flickr Images. Association for Computing Machinery Conference 2017.
Mikula P, Hadrava J, Albrecht T, Tryjanowski P. 2018. Large-scale assessment of commensalistic-mutualistic associations between African birds and herbivorous mammals using internet photos. PeerJ 6:e4520.
Monkman GG, Kaiser M, Hyder K. 2018. The ethics of using social media in fisheries research. Reviews in Fisheries Science & Aquaculture 26:235-242.
Norouzzadeh MS, Nguyen A, Kosmala M, Swanson A, Palmer MS, Packer C, Clune J. 2018. Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences 115:E5716-E5725.
Wäldchen, J., Mäder, P., 2018. Machine learning for image based species identification. Methods in Ecology and Evolution 9, 2216-2225.
2017
Becken S, Stantic B, Chen J, Alaei AR, Connolly RM. 2017. Monitoring the environment and human sentiment on the Great Barrier Reef: Assessing the potential of collective sensing. Journal of Environmental Management 203:87-97.
Berger-Wolf TY, Rubenstein DI, Stewart CV, Holmberg JA, Parham J, Menon S, Crall J, Van Oast J, Kiciman E, Joppa L. 2017. Wildbook: Crowdsourcing, computer vision, and data science for conservation. arXiv preprint arXiv:1710.08880.
Dorward LJ, Mittermeier JC, Sandbrook C, Spooner F. 2017. Pokémon Go: benefits, costs, and lessons for the conservation movement. Conservation Letters 10:160-165.
Dylewski Ł, Mikula P, Tryjanowski P, Morelli F, Yosef R. 2017. Social media and scientific research are complementary—YouTube and shrikes as a case study. The Science of Nature 104:48.
ElQadi MM, Dorin A, Dyer A, Burd M, Bukovac Z, Shrestha M. 2017. Mapping species distributions with social media geo-tagged images: Case studies of bees and flowering plants in Australia. Ecological Informatics 39:23-31.
Hong S, Do Y, Kim JY, Cowan P, Joo G-J. 2017. Conservation activities for the Eurasian otter (Lutra lutra) in South Korea traced from newspapers during 1962–2010. Biological conservation 210:157-162.
Jeawak SS, Jones CB, Schockaert S. 2017. Using Flickr for characterizing the environment: an exploratory analysis. 13th International Conference on Spatial Information Theory (COSIT 2017). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
Berger-Wolf TY, Rubenstein DI, Stewart CV, Holmberg JA, Parham J, Menon S, Crall J, Van Oast J, Kiciman E, Joppa L. 2017. Wildbook: Crowdsourcing, computer vision, and data science for conservation. arXiv preprint arXiv:1710.08880.
Dorward LJ, Mittermeier JC, Sandbrook C, Spooner F. 2017. Pokémon Go: benefits, costs, and lessons for the conservation movement. Conservation Letters 10:160-165.
Dylewski Ł, Mikula P, Tryjanowski P, Morelli F, Yosef R. 2017. Social media and scientific research are complementary—YouTube and shrikes as a case study. The Science of Nature 104:48.
ElQadi MM, Dorin A, Dyer A, Burd M, Bukovac Z, Shrestha M. 2017. Mapping species distributions with social media geo-tagged images: Case studies of bees and flowering plants in Australia. Ecological Informatics 39:23-31.
Hong S, Do Y, Kim JY, Cowan P, Joo G-J. 2017. Conservation activities for the Eurasian otter (Lutra lutra) in South Korea traced from newspapers during 1962–2010. Biological conservation 210:157-162.
Jeawak SS, Jones CB, Schockaert S. 2017. Using Flickr for characterizing the environment: an exploratory analysis. 13th International Conference on Spatial Information Theory (COSIT 2017). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
2016
Daume S. 2016. Mining Twitter to monitor invasive alien species—An analytical framework and sample information topologies. Ecological Informatics 31:70-82.
Giovos I, Ganias K, Garagouni M, Gonzalvo J. 2016. Social media in the service of conservation: A case study of dolphins in the Hellenic seas. Aquatic Mammals 42:12-20.
Hentati-Sundberg J, Olsson O. 2016. Amateur photographs reveal population history of a colonial seabird. Current Biology 26:R226-R228.
Leighton GRM, Hugo PS, Roulin A, Amar A. 2016. Just Google it: assessing the use of Google Images to describe geographical variation in visible traits of organisms. Methods in Ecology and Evolution 7:1060-1070.
Miranda EB, Ribeiro Jr RP, Strüssmann C. 2016. The ecology of human-anaconda conflict: a study using internet videos. Tropical Conservation Science 9:43-77.
Wang, J., Korayem, M., Blanco, S., Crandall, D.J., 2016. Tracking Natural Events through Social Media and Computer Vision, In Proceedings of the 24th ACM international conference on Multimedia. pp. 1097–1101. Association for Computing Machinery, Amsterdam, The Netherlands.
Giovos I, Ganias K, Garagouni M, Gonzalvo J. 2016. Social media in the service of conservation: A case study of dolphins in the Hellenic seas. Aquatic Mammals 42:12-20.
Hentati-Sundberg J, Olsson O. 2016. Amateur photographs reveal population history of a colonial seabird. Current Biology 26:R226-R228.
Leighton GRM, Hugo PS, Roulin A, Amar A. 2016. Just Google it: assessing the use of Google Images to describe geographical variation in visible traits of organisms. Methods in Ecology and Evolution 7:1060-1070.
Miranda EB, Ribeiro Jr RP, Strüssmann C. 2016. The ecology of human-anaconda conflict: a study using internet videos. Tropical Conservation Science 9:43-77.
Wang, J., Korayem, M., Blanco, S., Crandall, D.J., 2016. Tracking Natural Events through Social Media and Computer Vision, In Proceedings of the 24th ACM international conference on Multimedia. pp. 1097–1101. Association for Computing Machinery, Amsterdam, The Netherlands.
2015
Gonella PM, Rivadavia F, Fleischmann A. 2015. Drosera magnifica (Droseraceae): the largest New World sundew, discovered on Facebook. Phytotaxa 220:257-267.
Haas AF, et al. 2015. Can we measure beauty? Computational evaluation of coral reef aesthetics. PeerJ 3:e1390.
Jepson P, Ladle RJ. 2015. Nature apps: Waiting for the revolution. Ambio 44:827-832.
Jovanovic, V., Vukelic, D., 2015. Using geosocial analysis for real-time monitoring the marine environments. Journal of Environmental Protection and Ecology 16, 1344-1352.
Haas AF, et al. 2015. Can we measure beauty? Computational evaluation of coral reef aesthetics. PeerJ 3:e1390.
Jepson P, Ladle RJ. 2015. Nature apps: Waiting for the revolution. Ambio 44:827-832.
Jovanovic, V., Vukelic, D., 2015. Using geosocial analysis for real-time monitoring the marine environments. Journal of Environmental Protection and Ecology 16, 1344-1352.
2014
Barve V. 2014. Discovering and developing primary biodiversity data from social networking sites: A novel approach. Ecological Informatics 24:194-199.
Lee, S., Crandall, D., 2014. Learning to identify local flora with human feedback, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop: Computer Vision and Human Computation.
Proulx R, Massicotte P, Pepino M. 2014. Googling Trends in Conservation Biology. Conservation Biology 28:44-51.
Lee, S., Crandall, D., 2014. Learning to identify local flora with human feedback, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop: Computer Vision and Human Computation.
Proulx R, Massicotte P, Pepino M. 2014. Googling Trends in Conservation Biology. Conservation Biology 28:44-51.
2013
Wang, J., Korayem, M., Crandall, D., 2013. Observing the natural world with Flickr, In Proceedings of the IEEE international conference on computer vision workshops. pp. 452-459.
2012
Crandall, D., Snavely, N., 2012. Modeling people and places with internet photo collections. Commun. ACM 55, 52–60.
Zhang, H., Korayem, M., Crandall, D.J., LeBuhn, G., 2012. Mining photo-sharing websites to study ecological phenomena, In Proceedings of the 21st international conference on World Wide Web. pp. 749–758. Association for Computing Machinery, Lyon, France.
Zhang, H., Korayem, M., Crandall, D.J., LeBuhn, G., 2012. Mining photo-sharing websites to study ecological phenomena, In Proceedings of the 21st international conference on World Wide Web. pp. 749–758. Association for Computing Machinery, Lyon, France.
2010
Galaz V, Crona B, Daw T, Bodin Ö, Nyström M, Olsson P. 2010. Can web crawlers revolutionize ecological monitoring? Frontiers in Ecology and the Environment 8:99-104.
