Big Data and Society Acceptance Rate

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Acceptance Rate is not available for Big Data and Society, or not provided by Big Data and Society

The acceptance rate is a way to ascertain the level of prestige a journal carries. An article when submitted for publishing is vehemently scrutinized and goes through very heavy testing such as peer-reviewing. Many prestigious journals such as Big Data and Society make sure that their reputation is maintained by any means necessary. They try very hard to keep their acceptance rate very low and only publish extremely well-done scientific articles and manuscripts. The Acceptance rate can measure the selectivity or prestige of a journal, though, like many journal metrics, the raw number is not the whole story, there is more to it.

In simple words, the percentage of all articles submitted to a journal in a whole year over the number of articles that were accepted to be printed in the same year can be defined as the acceptance rate. Both the number of submitted articles and the number of accepted articles are shown, to aid in giving a comprehensive understanding of the size of the journal. Articles that were withdrawn are not included in this data, they fall under the rejection rate. The acceptance rate is calculated as the ratio of the number of articles submitted to the number of articles published. The exact method of calculating the acceptance varies depending on journal to journal, each has its own.

Difference between Acceptance Rate and Rejection Rate

Rates of acceptance and rejection are projected in percentages and reflect and review the relationship between the number of articles submitted to a particular journal and those that were finally accepted after choosing from them. These rates are a measurement that must be gauged and taken into account when selecting the journal in which to publish your work, especially if your contribution is of high quality and has the capacity to compete with the best studies and challenge the best research. The rejection rate is the exact opposite of the Acceptance rate. Low Acceptance rate and High Rejection rate mean a prestigious journal such as Big Data and Society whereas high acceptance rate and low rejection rate means the journal doesn’t go through rigorous checks such as Big Data and Society.

Calculating Acceptance Rate

Acceptance rates of journals are capable of influencing faculty tenure and promotion decisions as well as how the quality of journals is seen and the intention to submit manuscripts to a given journal. Several variations exist in how acceptance rates are calculated across journals and editors, different methods are used by everyone which in turn results in potentially misleading comparisons and different results. The different results caused by different methods used can affect how powerful and reputed a journal is. Journals such as Big Data and Society have different methods than others.

Relationship between Impact factor and Acceptance rate

The impact factor plays a very important role as many researchers—together with members of institutional committees, who make decisions about funding, awards, and promotions—usually have the belief that studies published in high-impact-factor journals, which also have very high rejection rates and low acceptance rates, have a major impact in the subject area that is being researched. Also, having a paper published in a high impact factor journal like Big Data and Society is considered to be a challenge, very few authors are able to accomplish this and thus those authors get more funding and collaborations.

Journal Acceptance Rate Feedback System

Journal Acceptance Rate Feedback System is a platform on which you can access relevant data and make informed decisions with the help of a qualified crowd. It helps in improving the transparency of the peer-reviewed process. Occasionally, societies or other groups will issue acceptance rates for journals within a particular field. Again, a Google search may help find these but a dedicated software or platform particularly designed for this process is much more convenient

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Big Data and Society

Big Data & Society (BD&S) is open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business, and government relations, expertise, methods, concepts, and knowledge. BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practice that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, the content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government, and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of more...

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