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Tomgandhi Consulting LinkedIn Xray Search. LinkedIn Scraper: Scrapes Any LinkedIn Data. 
REDDIT SOURCE 2 FULL
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Export Tweet: Advanced Twitter analytical service, you can download the generated report for off-line usage. Spoonbill: Monitor profile changes from the people you follow on Twitter. Tag board:Search for hashtags on Twitter, Facebook & Google+. Simple Twitter Profile Analyzer (Python script). Sleeping Time: Predict the sleeping schedule of anyone on Twitter. Social bearing: Analysis twitter accounts. First Tweet: Find the first tweet of any search keyword or link. Foller: Analysis Twitter account (profile public information, number of tweets and followers, topics, hashtags, mention). Trendsmap: Shows you most popular trends, hashtags and keywords on Twitter from anywhere around the world. All My Tweets: View all public tweets posted by any Twitter account on one page. ExtractFace: Automate extracting data from Facebook profiles (Not working currently). It searches Facebook posts and limit the results to specific date. Who posted what?: Facebook keyword search generator. LikeAlyzer: Analyze and monitor Facebook Pages. FindMyFbid: Locate Facebook personal numeric ID. Lookup ID: Find Facebook personal numeric ID / Group ID / Page ID. Socmint: Facilitate fetching information using Facebook Graph search. Facebook scanner: As of June 6th, you can scan only your own profile with this tool. A systematic review in comparison would usually include two or more researchers either categorising studies independently or in tandem to find any mistakes and correct them. This is notable for studies which are situated in disciplines and methods outside this researcher’s knowledge and skillset. This means that if the coding categorisation of studies were incorrect there was no second researchers to correct the mistakes. This review was also limited to one researcher. If the keywords Reddit and subreddit were not included in abstracts or tags used in the databases searched they would not have appeared in this literature review. If the information was not provided in abstracts the the article itself was searched for keywords and skim read to find the relevant information.³ Limitations The above information was collected by reading journal abstracts. These included: publication date, name of study, research paradigm, academic discipline, second academic discipline if relevant, method(s) used, and type of publication (conference paper, journal article, book chapters). These included research output and conference articles from the Association of Computer Machinery (ACM) library, and the non-profit CivilSevant.ioĪ spreadsheet was created including information on each research item. Going on from there I conducted a snowball search from bibliographies and footnotes of highly cited articles which led to more researchers, research projects and organisations. This was because of many false positives coming from social media share functions being picked up.² The first 50 pages of Google Scholar was searched but no further. Scoping of literature was done by searching the words ‘Reddit’ and ‘subreddit’ on Web of Science and Scopus databases between May and July 2019. It had elements of a systematic review but fell short of claiming to be as comprehensive ( Grant & Booth, 2009). Considering the trend I wouldn’t be surprised at all if this year eclipsed the last on output.¹ This review stopped at works published in early May. 
Minus a blip in 2012 research output has grown year on year. Reddit was founded in 2005 but it wasn’t until several years later that works started appearing in peer reviewed journals and conference papers. 127 works on Twitter and political election campaigning ( Jungherr, 2016).671 research works on social networking sites ( Boyd, 2015).575 on Twitter and Micro-blogging ( Williams, Warwick and Melissa, 2013).380 papers on Twitter between 20 ( Michael and Proferes, 2014).
Reddit has 211 academic works and this compares to: Now let’s do a fun comparison between academic research on both platforms. Political scientists in particular absolutely love Twitter. They’re on it tweeting about their own work, doing digital networking and following the occasional parody account. Social scientists love Twitter as a platform.
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