[{"id":275,"title":"Using kittens to unlock photo-sharing website datasets","sha":"eaa609f34f359f35cb7f025fa13681ae","user_id":null,"state":"published","body":"Mining photo-sharing websites is a promising approach to complement in situ and satellite observations of the environment, however a challenge is to deal with the large degree of noise inherent to online social datasets.  Using the Flickr application programming interface I queried all the public images metadata tagged at least with one of the following words: “snow”, “neige”, “nieve”, “\"neu” (snow in French, Spanish and Catalan languages). The search was limited to the geotagged pictures in the Pyrenees area. However, the number of public pictures available for a given time interval depends on several factors, including the Flickr website popularity and the development of digital photography. Thus, I also searched for all images tagged with “chat”, “gat” or “gato” (cat in French, Spanish and Catalan languages). The tag “cat” was not considered in order to exclude the results from North America where Flickr got popular earlier than in Europe. The number of “cat” images per month was used to fit a model of the number of images uploaded in Flickr with time. This model was used to remove this trend in the numbers of snow-tagged photographs. The resulting time series was similar to a time series of the snow cover area derived from the MODIS satellite over the same region. ","created_at":"2016-01-15T12:36:54.162Z","updated_at":"2016-01-20T06:14:42.498Z","zenodo_id":93532,"doi":"http://dx.doi.org/10.5281/zenodo.44809","subject":null,"tags":["social media","crowdsourcing","snow","remote sensing"],"vote_count":1,"view_count":1,"score":1.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":"snow_cycle_flickr_MODgapfill.png","attachment_content_type":"image/png","attachment_file_size":43003,"attachment_updated_at":"2016-01-15T12:36:54.125Z"},{"id":488,"title":"Social Jailbreak: a social media aggregator designed to circumvent social media monopolies","sha":"8e322a486ac6a4c98fd742580169e2d1","user_id":null,"state":"published","body":"**Social Jailbreak** (SJB) describes a proposed viral application that would allow social media users to communicate beyond the limits imposed by social media monopolies. Several platforms (e.g. Hootsuite) and some social networks (mainly Friendica) merge their users' different newsfeeds that they have on other networks, to put them back in control and at the center of their entire online presence. Unfortunately, [the most popular social network](https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/) has [disallowed the importation](https://hyp.is/_uNnqLvVEeiorDdKMLuEfQ/www.makeuseof.com/tag/manage-social-feeds-hootsuite/) of personal newsfeeds. \r\n\r\nOne way to durably escape such social jails is to provide users a technical method to seamlessly share their soon-to-be jailed publications with others. While it is against the terms of social jails to export personal newsfeeds, personal contents can be published outside of the social jail *before* being fed to the social jail, and exchanged through the SJB parallel network, and if all the users appearing in each other's personal newsfeed have installed SJB (in a single click), they will all be able to consult and rearrange their newsfeed from outside any social jail. It will then be possible to merge all social contents (including forum messages, comments left anywhere, etc.).\r\n\r\nSocial Jailbreak would allow users to train their own algorithms, that would sort contents from those different sources in creative, emancipatory and non-mercantile ways (see MIT's [Gobo](https://www.media.mit.edu/projects/gobo/overview/)), thus breaking the spell of social jails.\r\n\r\n\r\n","created_at":"2018-09-19T06:52:52.478Z","updated_at":"2018-09-20T06:01:04.992Z","zenodo_id":1421986,"doi":"https://doi.org/10.5281/zenodo.1421986","subject":null,"tags":["social media","algorithms","monopolies","freedom of association"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null},{"id":118,"title":"The spontaneous order of social media","sha":"ba46ce488fdcdeac8a56de99530c5fbc","user_id":481,"state":"published","body":"Social media is a spontaneous order. Or, rather, various social orders cultivated on social media platforms—patterns of interaction, virtual communities, co-creation and user-generated content—constitute their own spontaneous orders. Social media spontaneous orders emerge and evolve in an orderly yet unplanned way due to shared rules of procedure, simplified feedback mechanisms, freedom of entry and exit, and equality of status among participants[[1]](https://cosmosandtaxis.files.wordpress.com/2014/12/ct_1_1_dizerega.pdf). Most studies of spontaneous orders have focused on markets[[2]](http://press.uchicago.edu/ucp/books/book/chicago/L/bo3621679.html)[[3]](http://press.uchicago.edu/ucp/books/book/chicago/L/bo5970048.html), science[[4]]( http://link.springer.com/article/10.1023%2FA%3A1026591624255), and democracy[[5]](http://www.tandfonline.com/doi/abs/10.1080/08913818908459563?journalCode=rcri20)[[6]](https://cosmosandtaxis.files.wordpress.com/2014/05/sieo_5_2012_andersson.pdf). Recent extensions have explored the spontaneous order of religion[[7]](https://cosmosandtaxis.files.wordpress.com/2014/05/sieo_3_2010_andersson.pdf), art[[8]](https://cosmosandtaxis.files.wordpress.com/2014/05/sieo_3_2010_camplin.pdf), innovation[[9]](https://cosmosandtaxis.files.wordpress.com/2014/12/j_potts.pdf), and cities[[10]](http://au.wiley.com/WileyCDA/WileyTitle/productCd-1557866988.html)[[11]](https://cosmosandtaxis.files.wordpress.com/2014/12/ct_1_1_palmberg.pdf); but social media life in an open society—the *social media cosmos*—is also such an order.\r\n\r\nLike other *cosmos*, social media spontaneous orders are complex discovery procedures that coordinate the distributed knowledge of participants. Yet social media spontaneous orders are distinct from others because they privileges a different systemic resource and rely on unique feedback mechanisms. Social media participants do not use profits (e.g. markets) or priority of discovery (e.g. science) or votes (e.g. democracy) to assess performance; nor do they use price signals to coordinate plans and activities. The systemic resource of social media is attention: “focused mental engagement on a particular item of information”[[12]](http://books.google.com.au/books/about/The_Attention_Economy.html?id=j6z-MiUKgosC). Participants look to connectivity/interactivity ratios and many social media analytics as coordinative feedback mechanisms.","created_at":"2015-03-14T10:56:09.207Z","updated_at":"2015-03-15T06:00:19.534Z","zenodo_id":24619,"doi":"http://dx.doi.org/10.5281/zenodo.16051","subject":null,"tags":["social media","spontaneous order","self-organisation","economy","science","culture"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null},{"id":915,"title":"Body Image Compensation","sha":"af7c64934f0fc8398de4228c87db23dd","user_id":null,"state":"published","body":"I here describe a solution to a problem in the area of optics. Worldwide, there is concern over the effects of the use of smartphones, tablets, computers, and webcams on body image. The use of cameras in these devices reinforces a [thin ideal](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552652/), which is damaging in its effects. I identify the major cause of the problem as camera hardware. A single lens may increase facial thinness in an image by 10%, compared with a face seen with two human eyes. This is due to [angular size](https://www.austincc.edu/jheath/Solar/Hand/Angsize/angsiz.htm), or how wide an object appears to be. See the Attachment Figure 1, a smartphone photo of US politician Alexandria Ocasio-Cortez. Such thinness is overcome by mounting two lenses about 6 cm apart, where the average human [pupillary distance](https://www.allaboutvision.com/eye-care/measure-pupillary-distance/) is 63 mm. An (inter alia) smartphone would then include software to integrate the two images. The Attachment Figures 2 and 3 show my own face at about 25 cm distance from a Lenovo laptop camera (314 pixels ear to ear). Attachment Figure 4 shows these images integrated (338 pixels ear to ear), as if viewed with human eyes. This broadens my face about 7.6% Currently, popular [smartphone](https://www.techadvisor.com/feature/mobile-phone/best-camera-phone-3675843/) and [computer](https://www.xda-developers.com/best-laptops-1080p-webcam/) cameras do not have such a feature. Companies which adopt this technology could boast of Body Image Compensation.","created_at":"2022-02-23T20:27:07.405Z","updated_at":"2022-02-26T06:00:44.379Z","zenodo_id":6288634,"doi":"https://doi.org/10.5281/zenodo.6288634","subject":null,"tags":["thinness ideal","social media","smartphone","tablet","computer","webcam","optics"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":"Facial_Thinness.jpg","attachment_content_type":"image/jpeg","attachment_file_size":212099,"attachment_updated_at":"2022-02-23T20:27:07.314Z"},{"id":119,"title":"The social media spontaneous order is a ‘constellaxy’","sha":"2e9e15b6adb3e76e44f4cf2a9f8f9a01","user_id":481,"state":"published","body":"Social media is a spontaneous order. It is distinct from others because of its systemic resource—attention—and unique feedback mechanisms—social media analytics[[1]](http://beta.briefideas.org/ideas/ba46ce488fdcdeac8a56de99530c5fbc). Attention consists connectivity and interactivity of social media *networking* (i.e., immediacy, accessibility, ‘findability’) and credibility and impression of social media *signaling* (i.e., personalisation, interpretation, and authenticity)[[2]](http://edge.org/3rd_culture/kelly08/kelly08_index.html).\r\n\r\nChanneling F.A. Hayek’s designation of market order as ‘catallaxy,’[[3]](http://press.uchicago.edu/ucp/books/book/chicago/L/bo3621679.html)[[4]](http://press.uchicago.edu/ucp/books/book/chicago/L/bo5970048.html) social media order is designated as ‘constellaxy.’ Constellaxy is a neologism combining ‘catallaxy’ and ‘constellation.’ Catallaxy is derived from Greek *katalatto*, with meanings: “to exchange” and “to admit into the community.” Constellation is derived from Latin *constellatio*, with meaning: “set with stars” (*con*- \"with\" and *stellare* “to shine”). Constellaxy therefore captures the character of the attention economy of social media: attention is networking (“with”) and signaling (“to shine”) in a constellation, hence *constell*-; and economy is coordination (“exchange”) and cooperation (“community”) in a catallaxy, hence -*axy*.\r\n\r\nParaphrasing Hayek, we define constellaxy as *the order brought about by the mutual adjustment of many individual participants in a social media network*. It refers to a pattern of mutually beneficial social media interactions—networking, signalling, coordination, and cooperation—not requiring that participants share the same goals. The emergent properties of social media—analytics, trending topics, clustering, filter bubbling, network scale, and hierarchy—are the outcomes of free pursuit of diverse and disparate goals of social media participants and networks.","created_at":"2015-03-14T11:20:35.579Z","updated_at":"2015-03-15T06:00:19.531Z","zenodo_id":24620,"doi":"http://dx.doi.org/10.5281/zenodo.16052","subject":null,"tags":["social media","spontaneous order","self-organisation","catallaxy","constellaxy"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null}]