[{"id":910,"title":"A VISUAL EXPERIMENT ON POLICY DATA DURING COVID-19\u000b","sha":"a5d2f322d93507e462441910809f7256","user_id":null,"state":"published","body":"A text mining study has been realised on a sample policy « Income support to quarantined workers who cannot work from home » published by OECD on 24 july 2020, in the dataset « Policy responses to the Covid-19 crisis ».  Policy texts have been analysed and descriptive word frequency resolutions produced, followed by data visualisation. The objective is to show how visualisation of texts might clarify messages by making them simpler. The sample country for this study was Australia. The totality of this country’s policies is explained by 1172 words. And the sample policy chosen for this study was 135 words. However, the word cloud created by this policy was including 40 words. This decrease in the number of words saves reading time and makes the main theme of the text quickly identifiable. Furthermore, the visualization of themes might accelerate the connection between different subjects and the creation of interpretation. During stressful periods like Covid-19 people look for quick, short information. Social media becomes a preference because of its easy access. If institutions prepare visualized reports with text mining techniques, people might be more interested in their policies. The visualisations by Tagcrowd and Infranodus:\r\n\r\nFIGURES\r\n\r\nhttps://www.oecd.org/social/Covid-19-Employment-and-Social-Policy-Responses-by-Country.xlsx\r\nhttps://infranodus.com/\r\nhttps://tagcrowd.com/\r\nhttps://en.wikipedia.org/wiki/Australia\r\n","created_at":"2022-02-06T04:00:10.371Z","updated_at":"2022-02-26T06:00:44.128Z","zenodo_id":6288458,"doi":"https://doi.org/10.5281/zenodo.6288458","subject":null,"tags":["text mining","data visualisation","policy","oecd","infranodus","tagcrowd","institution","covid-19","dataset","word cloud","information"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":"a_visual_experiment_guneri.pdf","attachment_content_type":"application/pdf","attachment_file_size":333831,"attachment_updated_at":"2022-02-06T04:00:10.308Z"},{"id":64,"title":"Piracy and (Digital) Economy - Beneficial side-effects of outlawed acts and black market economies for societies. ","sha":"2c6e126f305abe33c168c66d25be24f8","user_id":244,"state":"published","body":"There are various pointers in recent research that suggest that product piracy as a means of distribution is a mayor factor in not only innovation but also education and economic advancement. Independent studies also show  positive effects for the establishment of the class of goods that have been pirated on local markets. \r\n\r\nThis is especially true if looked at in combination with weak copyright protection mechanisms.The book market in Germany in Early Modern Europe - for example- could not have had such an explosive growth in comparison to the book market Great Britain at the same time without widespread and cheap illegal reprints available for a low price, no effective censorship nor copyright protection (Eisenstein_1980, Gieseke_1998). While Great Britain had a strict copyright regime in place around 1710, Germany did not establish a common copyright until around 1830. This lead to a wide-spread distribution of knowledge, a highly skilled workforce, a vibrant civil society and to Germany closing up and surpassing other industrial nations in the 19th century (Höffner_2010).\r\n\r\nThis research idea aims at linking these findings to the recent debate on internet piracy, copyright protections, pricing of goods and measures to foster innovation and economic growth.\r\n\r\nElizabeth_Eisenstein,1980:The.Printing.Press.as.an.Agent.of.Change.\r\nMichael_Gieseke,1998:Der.Buchdruck.in.der.frühen.Neuzeit.(Printing.in.Early.Modern.Europe)\r\nEckhard_Höffner,2010:Geschichte.und.Wesen.des.Urheberrechts.(History.of.Copyright.and.Related.Rights)","created_at":"2015-02-19T10:20:08.942Z","updated_at":"2018-05-21T14:50:35.520Z","zenodo_id":23127,"doi":"http://dx.doi.org/10.5281/zenodo.15519","subject":null,"tags":["piracy","software","torrent","information","data_exchange","knowledge","history_of_ideas","education","workforce","distribution_channels","logistics","piracy_of_goods","black_market_economy","product_piracy"],"vote_count":8,"view_count":1,"score":8.1,"deleted":false,"muted":false,"tweeted":false,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null},{"id":144,"title":"String notation for capturing the entire experimental processes of chemistry","sha":"830d1439390f3f6d34a331b7983b403d","user_id":540,"state":"published","body":"A string notation which is inspired by [SMILES](http://pubs.acs.org/doi/abs/10.1021/ci00057a005) notation in chemistry can be devised for capturing entire chemistry experimental and methodological sequences and processes. Laboratory experimental procedures are often described as flowcharts, which are (directed) graphs. There will be small symbols and character sequences which will refer specifically to sampling, instrumentation, modes, and levels, as well as ways of referencing chemical glassware types. Chemical substances can be referred to by any current string format. This kind of notation will be most useful in the context of everyday laboratory work: The scientist will only be using a small group of symbols at a time and these symbols can be used in filenames and experimental metadata to be stored on a computer easily associated with the files created in the course of an experiment. Using the string notation should also dramatically decrease the amount of writing and will be easily searchable. The structure of this notation scheme is starkly different than structured vocabularies (i.e. ontologies): Most of the symbols act as pictograms rather than letters, being easy to learn, transcending language and time boundaries, allowing context. The option to include as much information as the scientist desires is a necessary feature. Extendable to other sciences.","created_at":"2015-04-11T17:32:49.694Z","updated_at":"2015-04-13T17:57:09.549Z","zenodo_id":26808,"doi":"http://dx.doi.org/10.5281/zenodo.16763","subject":null,"tags":["chemistry","information","mathematics","computing","science"],"vote_count":2,"view_count":1,"score":2.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null},{"id":669,"title":"Florilege: a mapping method and memory aid for mass collaboration and information overload management","sha":"67c6e2015a420b51258fd81cf794aad4","user_id":null,"state":"published","body":"Florilege is a mind-mapping method adapted to endeavors involving multiple minds or lines of thought. Florilege maps introduce the dimension of time to register open, iterative, sometimes errant, thought processes. Like traditional florilegia and commonplace books, Florilege maps support individuals and groups in their heuristic pursuits, even when they are poorly organized or involve overwhelming masses of information.\r\n\r\nFlorilege maps have a limited set of rules:\r\n(1) ideas are pasted chronologically from left to right, like the words they contain, constituting branches;\r\n(2) ideas sprouting from parts of a branch grow above or below it, depending on their inductive (above, more general ideas) or deductive (below, more particular ideas) nature;\r\n(3) new, abductive or disruptive ideas and branches are pasted further above or below but not in the past (left) or future (right) (rule 1);\r\n(4) striking or important ideas are graphically larger than the others;\r\n(5) minor ideas and overwhelming masses of information are graphically constrained in space;\r\n(6) recalling past lines of thought (branches) constitutes grafting and involves the copying of a past branch into a present branch, analogous to rule 2;\r\n(7) all types of media are allowed and may constitute flowers or fruits.\r\n\r\nThe Florilege, in its attempt to reproduce the way we think and to assist memory, revives Vannevar Bush’s project, the Memex (As We May Think, 1945).","created_at":"2020-01-09T19:34:08.834Z","updated_at":"2020-02-09T06:00:38.366Z","zenodo_id":3660062,"doi":"https://doi.org/10.5281/zenodo.3660062","subject":null,"tags":["mind mapping","information","information overload","vannevar bush","commonplace books","collaboration","mass collaboration","data"],"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":909,"title":"“WORKPLACE” as a subject in British Journals in 2020","sha":"9a6fef279722efc6772074f0d850887b","user_id":null,"state":"published","body":"\r\nThe data for this study is limited to British journals and the research focus is on the main points regarding the subject of “workplace” during 2020. This study is based on two main research questions:\r\n\r\n1.\tDid Covid-19 become a regular topic regarding “workplace” issues each month in British journals in 2020?\r\n2.\tWhat were the main insights related to the “workplace” subject in British journals in 2020 and in which frequency?\r\n\r\nThe methods for this study are compiled with the focus on 102 articles about the workplace from different online journals in Europe listed in Europe News Sources in WorldDataAi. It focuses on thirty-one articles in journals that are published in the United Kingdom. It also makes use of a text mining process on the web-based qualitative analysis tool “3rdeyeinformation”. \r\n\r\nFIGURE\r\n\r\nFor a more in-depth and intuitive analysis of the texts, R studio was used.\r\n\r\nFIGURE\r\n\r\nFinally, although the articles highlight current issues in the workplace, we have not seen any keywords, which represent change, or actions, which will be taken to address the challenges in workplaces.\r\n","created_at":"2022-02-05T18:41:28.736Z","updated_at":"2022-02-26T06:00:44.212Z","zenodo_id":6288434,"doi":"https://doi.org/10.5281/zenodo.6288434","subject":null,"tags":["british","journals","workplace","world data","web-based","covid-19","3rd eye","r studio","text analysis","qualitative analysis","information","news"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":false,"attachment_file_name":"JOURNALBRIEFIDEAS.pdf","attachment_content_type":"application/pdf","attachment_file_size":327810,"attachment_updated_at":"2022-02-05T18:41:28.598Z"}]