Potential new features may include wall climbing, and boats, but so far remain unconfirmed. Post authentic content into communities where you have a personal interest, and do not cheat or engage in content manipulation (including spamming, vote manipulation, ban evasion, or subscriber fraud) or otherwise interfere with or disrupt Reddit communities.
While it is highly likely that the other races will return as well, they have yet to be officially confirmed. Hivers are confirmed to be a returning race, with some additions to the variety of their appearance. Ĭurrently major known planned features include a larger and expanded world, with new and old landmasses to explore, more dynamic faction interactions, a district system for NPC towns, as well as a major new game changing system that is being kept secret. There is, however, a potential beta phase towards the end of development to assist with bug testing. Unlike Kenshi, the game will likely not pursue an early access release as the funding is not needed, which would significantly speed up development. There is currently no confirmed release date. Though originally intended to use the latest version of OGRE as its engine, it was later changed to Unreal Engine 4.
Set around 1,000 years prior to the original game, the setting will still be in a post-apocalyptic state during this time period, and may have only slightly more advanced technology. 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.Kenshi 2 is an upcoming prequel to Kenshi still under development by Lo-Fi Games. 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.