Distant Reader - keyword-medium-cord

Introduction

This is a Distant Reader "study carrel", a set of structured data intended to help the student, researcher, or scholar use & understand a corpus.

This study carrel was created on 2021-05-25 by Eric Morgan <emorgan@nd.edu>. The carrel was created using the Distant Reader cord process, and the input was the result of a query applied to a local mirror of CORD, a data set of scholarly articles on the topic of COVID-19. The actual query was: keywords:medium. The results of this query were saved in a cache and transformed into a set of plain text files. All of the analysis -- "reading" -- has been done against these plain text files. For example, a short narrative report has been created. This Web page is a more verbose version of that report.

All study carrels are self-contained -- no Internet connection is necessary to use them. Download this carrel for offline reading. The carrel is made up of many subdirectories and data files. The manifest describes each one in greater detail.

Size

There are 45 item(s) in this carrel, and this carrel is 230,671 words long. Each item in your study carrel is, on average, 6,990 words long. If you dig deeper, then you might want to save yourself some time by reading a shorter item. On the other hand, if your desire is for more detail, then you might consider reading a longer item. The following charts illustrate the overall size of the carrel.

Readability

On a scale from 0 to 100, where 0 is very difficult and 100 is very easy, the documents have an average readability score of 46. Consequently, if you want to read something more simplistic, then consider a document with a higher score. If you want something more specialized, then consider something with a lower score. The following charts illustrate the overall readability of the carrel.

Word Frequencies

By merely counting & tabulating the frequency of individual words or phrases, you can begin to get an understanding of the carrel's "aboutness". Excluding "stop words", some of the more frequent words include:

media, social, cell, information, cells, use, using, production, used, also, data, study, news, high, process, health, different, one, analysis, online, based, protein, research, time, may, new, culture, two, public, medium, results, covid, growth, people, will, expression, human, system, gene, effect, model, well, i, studies, however, development, specific, users, proteins, activity

Using the three most frequent words, the three files containing all of those words the most are ECB12: 12th European Congess on Biotechnology, Loops, ladders and links: the recursivity of social and machine learning, and Abstracts from the 25th European Society for Animal Cell Technology Meeting: Cell Technologies for Innovative Therapies: Lausanne, Switzerland. 14-17 May 2017.

The most frequent two-word phrases (bigrams) include:

social media, media use, fake news, cell culture, cell lines, media platforms, environmental behavior, cell line, public health, machine learning, traditional media, media users, norm perception, cell growth, news media, conspiracy theories, gene expression, news articles, social distancing, present study, social network, young people, mental health, cho cells, cell density, product quality, entrepreneurial entry, display ads, social networks, cell cultures, display advertising, task assignment, protein production, environmental behaviors, unverified information, amino acids, media usage, social networking, trust propensity, false information, recombinant protein, hendra virus, flying foxes, chemical engineering, lactic acid, doc id, media reporting, cord uid, smartphone distraction, infectious disease

And the three file that use all of the three most frequent phrases are Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective Loops, ladders and links: the recursivity of social and machine learning, and Entrepreneurial entry: The role of social media.

While often deemed superficial or sophomoric, rudimentary frequencies and their associated "word clouds" can be quite insightful:

Keywords

Sets of keywords -- statistically significant words -- can be enumerated by comparing the relative frequency of words with the number of times the words appear in an entire corpus. Some of the most statistically significant keywords in the carrel include:

medium, social, covid-19, facebook, twitter, political, culture, cell, virus, turkey, system, study, protein, production, process, news, line, increase, high, health, growth, gene, expression, dna, digital, datum, cho, youth, virtual, veterinarian, usa, university, u.s., turkish, topic, thésée, thornton, therapeutic, theory, technology, technical, task, table, surgeon, suicide, strain, smf, smartphone, self, search

And now word clouds really begin to shine:

Topic Modeling

Topic modeling is another popular approach to connoting the aboutness of a corpus. If the study carrel could be summed up in a single word, then that word might be media, and Social media and moral panics: Assessing the effects of technological change on societal reaction is most about that word.

If the study carrel could be summed up in three words ("topics") then those words and their significantly associated titles include:

If the study carrel could be summed up in five topics, and each topic were each denoted with three words, then those topics and their most significantly associated files would be:

production, used, cell - ECB12: 12th European Congess on Biotechnology
media, social, information - Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news
media, social, news - Loops, ladders and links: the recursivity of social and machine learning
cell, cells, culture - Abstracts from the 25th European Society for Animal Cell Technology Meeting: Cell Technologies for Innovative Therapies: Lausanne, Switzerland. 14-17 May 2017
feb, spiralling, assimilate - Role of electronic media in mitigating the psychological impacts of novel coronavirus (COVID-19)

Moreover, the totality of the study carrel's aboutness, can be visualized with the following pie chart:

Noun & Verbs

Through an analysis of your study carrel's parts-of-speech, you are able to answer question beyonds aboutness. For example, a list of the most frequent nouns helps you answer what questions; "What is discussed in this collection?":

media, cell, information, cells, production, data, use, news, study, process, analysis, time, protein, health, culture, research, people, results, growth, expression, system, effect, medium, users, gene, model, studies, activity, proteins, conditions, development, role, number, enzyme, behavior, effects, product, acid, content, scale, risk, communication, platforms, work, method, control, virus, self, level, knowledge

An enumeration of the verbs helps you learn what actions take place in a text or what the things in the text do. Very frequently, the most common lemmatized verbs are "be", "have", and "do"; the more interesting verbs usually occur further down the list of frequencies:

use, showed, based, increased, provided, produce, find, including, making, obtained, developed, comparing, allow, follows, related, identifying, reduces, give, reporting, led, become, determined, contain, share, investigated, took, study, see, performed, presents, improve, consider, result, know, supporting, express, grow, creates, apply, require, affect, suggests, observe, indicates, generates, tested, focused, involves, assessing, controlling

Proper Nouns

An extraction of proper nouns helps you determine the names of people and places in your study carrel.

CHO, COVID-19, University, Fig, Twitter, Facebook, Department, •, Social, pH, C, Turkey, Health, MERS, S., E., −1, Hendra, Institute, Engineering, Table, Research, SMF, PCR, Ankara, S, Media, mg, Biotechnology, L, China, MS, Science, M, ␤, ␣, Technology, M., Chemical, B., A., USA, Instagram, India, Denmark, YouTube, WhatsApp, J, P., L.

An analysis of personal pronouns enables you to answer at least two questions: 1) "What, if any, is the overall gender of my study carrel?", and 2) "To what degree are the texts in my study carrel self-centered versus inclusive?"

we, it, their, they, its, our, them, i, you, us, themselves, one, his, your, itself, my, her, he, me, she, him, herself, himself, yourself, oneself, ourselves, myself, theirs, t98hr, ya, thee, sngr, putk2, mg, ldha, igfbp2, idrvs, 's

Below are words cloud of your study carrel's proper & personal pronouns.

Adjectives & Verbs

Learning about a corpus's adjectives and adverbs helps you answer how questions: "How are things described and how are things done?" An analysis of adjectives and adverbs also points to a corpus's overall sentiment. "In general, is my study carrel positive or negative?"

social, high, different, new, online, specific, human, important, public, significant, environmental, low, many, recombinant, political, various, several, higher, pro, large, non, first, digital, traditional, fake, positive, present, key, metabolic, negative, available, critical, effective, similar, major, possible, current, therapeutic, single, main, free, recent, particular, potential, real, natural, complex, global, general, efficient

also, well, however, even, therefore, often, respectively, significantly, now, highly, especially, moreover, rather, first, still, finally, online, directly, recently, less, particularly, furthermore, much, specifically, mainly, increasingly, potentially, previously, already, almost, together, widely, currently, easily, commonly, fully, hence, far, thereby, just, rapidly, always, relatively, instead, frequently, usually, yet, strongly, additionally, successfully

Next steps

There is much more to a study carrel than the things outlined above. Use this page's menubar to navigate and explore in more detail. There you will find additional features & functions including: ngrams, parts-of-speech, grammars, named entities, topic modeling, a simple search interface, etc.

Again, study carrels are self-contained. Download this carrel for offline viewing and use.

Thank you for using the Distant Reader.