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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Analysis of Inaccurate Evaluation of Scientific Content</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Lviv Polytechnic National University</institution>
          ,
          <addr-line>S. Bandery st. 12, Lviv, 79013</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The article investigates the influence of variability in the implementation of scientific communication on the quality of application of traditional metrics based on accounting the number of publications and their citations, consider the context of the citation. The purpose of the study is to conduct a scenario analysis of the realization of methodological risk of negative citing when using traditional metrics for evaluating scientific content. To achieve this goal the following tasks were performed: conducting a scenario analysis of the basic citation analysis to form the conceptual basis of the study; formation of principles of realization variative component of citation analysis, taking into account the risk of negative citing; conducting a scenario analysis of the citation scheme taking into account the risk of negative citing. The main research methodology is the method of scenario analysis, which was used to analyze the realization of methodological risk of negative citing in the evaluation of scientific content by traditional metrics. To increase the objectivity of evaluation of scientific content it is necessary to move to a variative level of citation analysis, which involves the identification and consideration of possible methodological risks of traditional metrics. Implementation of a variative component of evaluation of scientific content to account for the risk of negative citing provides identifying a marker of the scientist's belonging to the risk group of negative citing, verification of negative citation and analysis of the reasons for criticism and indication negative citation to establish the weight of the marker in the certain scientific subject area. Combining the results of expert evaluation and parameterization will allow reducing the subjectivity of the negative citing indication.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Scientific</p>
    </sec>
    <sec id="sec-2">
      <title>1. Introduction</title>
      <p>The development of new alternative metrics or the improvement of existing ones is an important
methodological problem of modern bibliometric research. The search for new solutions makes it
obvious that the existing methodological tools fail to adequately and comprehensively create an
evaluative picture of the scientific information space. Despite the imperfections of traditional
bibliometric tools today, it determines the basis for the functioning of undisputed monopolies in the
field of assessing the quality of scientific knowledge Scopus and Web of Science. Aware of the
possible shortcomings of traditional metrics, the use of citation analysis remains the only source of
data that allows mapping the scientific information space. Today traditional metrics are the basic
means of navigation for researchers under conditions of the rapid accumulation of scientific content.</p>
      <p>The purpose of the study is to conduct a scenario analysis of the realization of the methodological
risk of negative citing using traditional metrics for evaluating scientific content. To achieve this goal,
the following tasks were performed: conducting a scenario analysis of the basic citation analysis to</p>
      <p>2021 Copyright for this paper by its authors.
form the conceptual basis of the study; formation of conceptual principles of realization of a variative
component of the citation analysis taking into account risk of negative citing; conducting a scenario
analysis of the citation scheme, taking into account the risk of a negative citation.</p>
      <p>The main research methodology is the method of scenario analysis, which was used to analyze the
realization of the methodological risk of negative citing in the process of evaluating scientific content
by traditional metrics. Scenario analysis involves the use of tools of scientific methods of analysis,
synthesis, formalization, visualization. Analysis and synthesis were used to form the conceptual
principles for the implementation of basic and variative citation analysis as components of the system
of evaluation of scientific content. The methods of formalization and visualization were used to
represent and illustrate the process of citing as a reflection of the communication process between
authors of scientific publications with the help of the conceptual and mathematical apparatus of the
set theory.</p>
    </sec>
    <sec id="sec-3">
      <title>2. Recent research and publications</title>
      <p>The study of scientific value and relevance of the achievements of the individual researcher or
institution, publication's impact on the development of scientific creativity is a relevant and popular
area of research in academic, information-analytical, library structures.</p>
    </sec>
    <sec id="sec-4">
      <title>2.1. Potential and limitations of traditional metrics and altmetrics for evaluating the researcher</title>
      <p>
        Cabezas-Clavijo A. and Delgado-López-Cózar E. study the features, advantages and limitations of
scientific evaluation methods based on Google Scholar: method of calculating the h-index, which is a
standard bibliometric indicator. The h-index of the most relevant journals and researchers based on
data was obtained from Web of Science, Scopus and Google Scholar. The results show that the
average values of the h-index in Google Scholar are almost 30% higher than the values obtained in
Web of Science, and approximately 15% higher than those collected by Scopus. However, there are
no significant differences in the ratings [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ].
      </p>
      <p>
        Zhang C.-T. believes that the h-index is a simple and effective indicator for evaluating the
educational activities of researchers, but it has critical shortcomings. It leads to bias and inaccuracy of
assessments. A method for calculating the h'-index is proposed, which takes into account the values of
h-square, excess and h-tail. Compared to the h-index, the h'-index has a better correlation with the
indices of the total number of citations and citations from a single publication, has the ability to
distinguish between types of citations. The h'-index improves the h-index, as well as the indices of the
total number of citations and references to the publication. It can distinguish between types of
citations and can be used to make a more accurate assessment [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ].
      </p>
      <p>Liu Y. and Sun Z. also state that one of the most popular indicators for assessing the scientific
impact of the authors is the h-index. The h-index is efficient and easy to use, but it has disadvantages.
It does not take into account significant and important segments of information. To address these
shortcomings, scientists have proposed the g-index and EM-index, but they also operate only on the
number of articles with a high level of citation, and the total number of cited articles is not fully taken
into account. However, any cited article is important for scientific evaluation and contains unique
information about scientists. Therefore, the concept of S-index is proposed, which justifies the use of
bilateral h-index. The S-index takes into account all citations of publications and forms a single
number for human scientific influence. To illustrate the advantage of the S-index, an experimental
analysis of 100 cited articles was performed. The analysis showed that the S-index is a more balanced
and accurate method of quantifying the scientific impact of the authors [24].</p>
      <p>Maqsood S., Islam M. A., Afzal M.T. and Masood N. state that the authors of research papers are
given a rating, which is taken into account when shortlisted for scientific awards, prestigious
positions, appointments, invitations to the keynote speaker or distribution of grants for research. The
rating of scientists is established based on traditional bibliometric indicators, which include: the
number of publications, the number of citations and the h-index. However, clear citations appear only</p>
    </sec>
    <sec id="sec-5">
      <title>2.2. Use of traditional metrics and altmetrics for evaluating scientific editions</title>
      <p>Lazarev V. S. investigates the discipline impact factor (DIF), which is used to evaluate serial
publications. For the study, an analysis of the scientific literature, evaluative judgments was
conducted. The information base of the research is important, thorough bibliometric publications on
the influence of bibliometrics and its perception. Examples of the application of DIF and its
modifications are presented. The use of DIF to evaluate serial publications is relevant to university
research libraries that have limited funding for subscription. Evaluation of scientific serials is an
important area of library activity, even in the conditions of using database subscriptions and open
access to a significant number of publications. Open access to publications is not able to compensate
for the gaps. DIF is important when choosing the best journal to submit an article. DIF is offered for
wide practical application. The original indicator - "symmetrical" DIF ("discipline susceptibility
factor") and its differences from DIF in terms of content and purpose of evaluation are presented.
Symmetric DIF is designed to search for serial publications on intersectoral research that are of
potential value for widespread application of research results. Both methods are of interest to
scientific libraries of universities in the field of scientific information services [22].</p>
      <p>
        Guerrero-Sosa J. D. T., Menendez-Dominguez V. H. and Castellanos-Bolaños M. E. study
quantitative statistics to measure the scientific value of publications concentrated in high-performance
open content digital repositories. The proposed methodology of action research (AR), which provides
an algorithm of connections: research is related to practice; research informs practice; practice
informs research. AR covers five phases: development of a problem scenario; analysis of modern
technical support; testing methodology; publication of results. The method is used to characterize
group and individual research results at the State University of Mexico. Data from Scopus and the
National Open Access Repository of Mexico were studied. It is established that the AR system does
not depend on a particular technological tool and is based on universal standards for the description
and exchange of metadata, which creates conditions for the integration of new elements for
evaluation. The proposed method involves the use of indicators that assess the scientific value of the
publication based on the importance of its type and degree of cooperation [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ].
      </p>
      <p>
        De Filippo D., Aleixandre-Benavent R. and Sanz-Casado E. study the characteristics of scientific
activity in the field of social sciences and humanities, which are less than other fields represented in
international databases. Authors state that it is difficult to assess the quality of social and humanitarian
journals, ranking researchers and institutions working in these fields. A methodology for ranking
Spanish journals in the social sciences and humanities, developed under the auspices of the Spanish
Science and Technology Foundation (FECYT), is proposed. Model of rating journals by two
dimensions (impact and visibility) based on quantitative criteria. To obtain indicators in each of these
dimensions, a set of indicators is set: Index of citation of science, Index of citation of social sciences,
Index of citation of arts and humanities, Index of citation of new sources [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ].
      </p>
      <p>Thus, an important segment in the field of bibliometric research is to assess the quality of scientific
editions. Establishing a correlation between the level of authority of an individual researcher and the
level of a scientific journal, where he publishes, can be used in solving personnel problems.
Evaluation of scientific content in terms of subscription can be used for rational distribution of the
budget of institutions under conditions of limited funding.
2.3.</p>
    </sec>
    <sec id="sec-6">
      <title>Alternative approaches to the implementation of citation analysis</title>
      <p>
        Petersen A. M., Pan R. K., Pammolli F., Fortunato S. indicate that quantitative evaluation of
research requires clear, relatively simple, interdisciplinary methods that do not limit the time of
publication of the article. The decision for levelling of restrictions in quantitative estimation of
researches in the aspect of time of publication of the article is offered. The authors note that the real
value of citation depends on the time of its creation. The nominal number of citations does not
correspond to the real scientific influence of the scientist. Therefore, it is necessary to apply a
systematic revision of methods for evaluating citations, especially citations of researchers, whose
activities cover several decades [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ].
      </p>
      <p>
        Kobayashi N. and Toyoda T. conduct statistical analysis of citations in the semantic network to
establish a quantitative assessment of research results. Authors propose to rank researchers in a
particular subject area by presenting the k-index, which is the number of papers that contain specific
keywords and that are published by the researcher in a certain period [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ].
      </p>
      <p>
        Schoonbaert D. and Roelants G. explore the basic concepts of citation analysis and the factors
influencing the journal, which are considered in the context of assessing the quality of individual
scientific publications, individual researchers and research structures. Relevant aspects of the study
are technical capabilities, selectivity of the database; restrictions on time, language, subject, type of
publication; numerous benefits of authorship and motivation for citation. Citation analysis based on
the application of journal influencing factors can be used to assess the scientific weight of
publications of individual researchers or scientific institutions, but it should not be considered as the
only evaluation criterion [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ].
      </p>
      <p>
        Zhou Q. and Zhang C. study citations to measure the academic impact of books. The only
quantitative metric for evaluating books is citation frequency. Quantitative evaluation does not take
into account the value of the content of the book. It indicates the lack of completeness of the
evaluation results. Therefore, to obtain reliable book evaluation results, it is necessary to integrate
frequency metrics and content metrics. Cited books reflect the frequency of citation of books, motives
and context of citation, current topics, authoritative authors. The citation does not indicate
transparently the context of the citation, the hidden information. Multidimensional citation metrics
were used to study the value of books. The next stage is the comparison of the obtained results with
the evaluation of books using traditional metrics [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ].
      </p>
      <p>
        Vicencio-Ríos G., Araya-Castillo L., Millán-Toledo C. and Rivera Flores Y. conduct a descriptive
and comparative bibliometric study. To identify detailed and systematic information about the brands
of scientific activity in 1995-2018, 481 articles published in the WoS database were analyzed, with a
total of 11,840 citations. The most influential article was written by Aaker Aaker, the most relevant
author was Aaker Aaker, the most famous journal was Psychology &amp; Marketing, the most productive
institution was the University of Texas at Austin, and the most influential was the United States. A
bibliometric map was compiled, which highlights the results of using the method [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ].
      </p>
      <p>Thus, the citation itself, as a basis of bibliometric research, requires a rethinking and revision of
approaches to its identification and evaluation.
2.4.</p>
    </sec>
    <sec id="sec-7">
      <title>Relationship between altmetrics and features of scientific activity</title>
      <p>
        Delgado-Carreón C. C., Machin-Mastromatteo J. D., Romo-González J. R. and
PachecoMendoza J. study the influence of the creative component on the scientific activity of university
teachers. A survey of 120 university teachers was conducted to evaluate articles on specialized topics.
Articles were evaluated on five criteria: novelty; flexibility, fluidity; achievements, dedication;
confidence; problem-solving. After the survey, the data were compared with three other data sets:
bibliometric data (Scopus), Altmetrics (Dimensions) and reviews (Publons) for the period from 2013
to 2018. A description, statistical analysis, correlation of collected data. It is established that there is a
small correlation between the indicators of creativity of researchers and their bibliometric and
altmetric indicators. The highest marks for measuring creativity were flexibility and smoothness,
devotion. During the analyzed period, researchers published 379 documents, but only 61 of them
published articles in journals indexed in Skopje. The analysis shows that all researchers did not find
significant differences in their own assessments of their work, despite the level of indicators of
scientific activity [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>
        Castanha R. G. and Cabrini Grácio M. C. study the inheritance of theoretical and methodological
achievements of the researcher by his academic descendants (formation of scientific schools) using
the method of bibliographic communication. The method of bibliographic communication contributed
to the analysis of the impact of the transfer of scientific identity of a scientist in the academic
genealogical network of research researchers [
        <xref ref-type="bibr" rid="ref18">18</xref>
        ].
      </p>
      <p>
        Keshavarz H. and Esmaeili Givi M. study methods for assessing the accuracy of the information
available on scientific websites. A scale for measuring the reliability of information was developed
based on a questionnaire. It was conducted based on a stratified random sample among 672 students
of Iranian universities. The results show that the reliability of the information on scientific websites
can be measured by evaluating 8 criteria: ethics, writing style, website appearance, website identity,
professional information, accuracy, ease of use and interaction. These are the most important criteria
for studying the assessment of the reliability of scientific web information by students [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ].
      </p>
      <p>Davidavičiene V., Al Majzoub K. and Meidute-Kavaliauskiene I. study the development and use
of information and communication technologies (ICT), which have enabled the development of new
types of work organizations - virtual organizations, virtual teams, distance work and learning. Virtual
team (VT) technology allows you to bring together creative, talented professionals who do not have
direct access to the office but can ensure the competitiveness of the firm. However, the problem area
is the exchange of knowledge in virtual teams. Studies of this problem have been conducted in the
United States and Europe. The results of a study of knowledge exchange in virtual teams, which was
conducted in the United Arab Emirates (UAE) in the IT industry and takes into account the specifics
of the region. A model for assessing the impact on knowledge sharing in virtual teams has been
created. It was found that the factors that have a direct impact on the exchange of knowledge in the
field of VT include: culture, motivation, conflict, ICT, trust and leadership. The results show that
language does not affect the exchange of knowledge [21].</p>
      <p>
        Smolinsky L. and Lercher A. J. investigate the influence of bibliometric methodology on scientific
activity, as well as the dependence of the nature of the impact on the method of evaluating citations of
publications of an individual researcher. The study uses the printed journals of the American Physical
Society to classify articles by subject and to gather information about citations, publications, and
authors. Researchers determine the total number of citations, the number of publications of the author
on a particular topic. To summarize the results of the application of the bibliometric methodology, the
method of lending to individual scientists is used [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ].
      </p>
      <p>
        Makris C., Pispirigos G. and Simos M. A. study the process of text annotation, which provides the
ability to identify the meanings of the text segment within a given context. There are limitations to the
word paradigm in annotations. Therefore, the use of information retrieval technologies and artificial
intelligence necessitates overcoming the semantic difficulties that arise due to the presence of the
phenomena of polysemy and homonymy in natural language. The overactive search for information is
inherent in such scientific fields as digital marketing, bioinformatics, chemical engineering, neurology
and social sciences, and community discovery. A new distributed controlled community discovery
methodology based on the use of a community discovery algorithm to annotate Wikipedia text is
presented. This is the concept of a coherent community as a metric for establishing compatible local
community coherence. The affinity and coherence of author communities in Wikipedia bring
significant improvement and accuracy of new or incomplete annotations [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ].
      </p>
      <p>Thus, in recent years there has been a tendency to combine the tools of traditional and alternative
metrics to provide quantitative and qualitative components of the evaluation of scientific content.
However, the methodologies for implementing citation analysis, both within traditional and
alternative approaches, do not provide for the identification and consideration of the context of
citations, namely the identification of negative evaluative judgments of the author of the citation.</p>
    </sec>
    <sec id="sec-8">
      <title>3. Results</title>
      <p>
        The traditional methodology for evaluating the authority and demand for scientific content is
developed on basic citation analysis. It involves the identification and accounting of citations to the
publication – the primary source, based on content analysis of the list of references given in
publications – secondary sources [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
      </p>
      <p>Consider the example of the scheme of basic citation analysis, which will form the conceptual
basis for the research.
3.1.</p>
    </sec>
    <sec id="sec-9">
      <title>Scenario analysis of the basic citing scheme</title>
      <p>Some primary sources were cited in certain secondary sources and make up the set
 ( )
 = { 1,  2, … ,   , … } = {  } =1 ,
(1)
where  ( ) is the number of primary sources in the set  with powerset</p>
      <p>| | =  ( ). (2)</p>
      <p>The fact of citing is considered as the implementation of the communication process between the
author of primary sources and the authors of secondary sources. As a result of this scientific
communication, links-citation  ( ) appears between the certain primary source and the</p>
      <p>Quantitative assessment of the influence of the researcher is determined by the powerset of the set
of publications | |, powerset of the cumulative set of citations | ( )| and the scatter of the
powerset values of the sets of citations |</p>
      <p>( 1)|, | ( 2)|, … , | (  )|:
level of publishing activity is the higher, the greater is the powerset of the set of publications |

PS |;
 cumulative citation index of the researcher is the greater, the greater is the powerset of the
cumulative set of citations |Cit(Cum)|;
 researcher's h-index is the greater, the greater is the powerset of the citation sets
| ( 1)|, | ( 2)|, … , | (  )| with minimal scatter of their values and high publishing activity.</p>
      <p>The considered basic citation scheme illustrates the idealized process of scientific communication.
It involves reviewing the results of scientific activities without taking into account the qualitative
assessment of the citation. It is obvious that the basic citation analysis, which forms the
methodological apparatus of traditional metrics, does not cover the possible variability of the results
of scientific communication. That is why the importance of a scientific publication and the impact of
the researcher can’t be adequately assessed only by the powerset of the set of publications and
citations.</p>
      <p>
        To increase the objectivity of the evaluation of scientific content, the concept of "variative citation
analysis" was proposed and the possible methodological risks of traditional metrics were
identified [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. Consider the scheme of realization of the risk of negative citing, which arises due to the
neglect of the context of citing.
3.2.
      </p>
    </sec>
    <sec id="sec-10">
      <title>Variative citation analysis for evaluating negative citing</title>
      <p>A variative component of the evaluation of scientific content with taking into account the risk of
negative citing involves identifying the context of citing. Within the research of this subject area the
following stages are distinguished:
 identification and accounting of negative citing, which makes it possible to establish a marker
of the scientist's belonging to the risk group of negative citing;
 indication of citation with negative context to establish the weight of the marker of negative
citing;
 verification of negative citing. At this stage, an unambiguous verdict is made on the presence
or absence of negative citing of the publication based on the analysis of the reasons for criticism.</p>
      <p>Identification and accounting of negative citing involve the transition from the identification of
citations as bibliographic records in the list of references to the analysis of the contextual group of
physical attributes of citations directly in full-text secondary sources.</p>
      <p>Identification and accounting of negative citing involve identifying contextual groups of physical
attributes of citations. The methodological tool for this process can be a method of sentiment analysis.
It allows in an automated mode using computational linguistics to detect the presence of emotionally
coloured and evaluative statements of the author about a particular object.</p>
      <p>The fact of detecting a marker of negative citing necessitates the indication and verification of a
negative citation for further in-depth study of a particular subject area.</p>
      <p>Indication of negative citing implies its parameterization. Negative citing parameterization is the
quantification of identified citations using an indicator that correlates with the number of citations
with a negative response and compares with the weight of the negative citing marker. For ease of
evaluation, this indicator should be a dimensionless quantity (coefficient) that can vary within certain
limits. This will allow forming unambiguous judgments about the importance of negative citing.</p>
      <p>To indicate citation with a negative response, we propose to use the coefficient of negative
citing  (−), which is equal to the ratio of the number of citations with a negative context to the total
number of citations:
 (−) =
 ( −)
 ( ) =  ( +) +  (  −),
 ( −)
(11)
where  ( −) is the number of citations with a negative context;  ( +) is the number of citations
with a positive (neutral) context;  ( ) is the total number of citations to publication.</p>
      <p>Depending on the number of identified negative citations, the coefficient of negative citations can
vary within 0 &lt;  (−) ≤ 1. The greater is the number of identified negative citations, the greater is the
value of  (−). It can be used to indicate a negative citing of a single publication and set of
publications.</p>
      <p>To determine the significance of the negative citing marker in a particular subject area, the expert
must also take into account the social impact of the scientific publication. Under the social influence,
we understand the consequences of the practical implementation of scientific research on the living
conditions (life quality, life expectancy and health) of a person and society as a whole. For example, it
is obvious that from the point of view of social impact, negative citing in the field of medicine is more
important than in the humanities. Expert discipline differentiation of the indication of negative citing
allows grading the weight of the marker of negative citing to establish the maximum allowable value
of the number of citations with a negative response. So, experts should determine the limit values of
the coefficient of negative citing  (−) for each subject area. Verification of a negative citing is a
complex cognitive process that involves expert assessment of the contextual field of the citation. This
process requires a high level of competence, objectivity, professionalism, scientific intuition and
adherence to moral and ethical standards.</p>
      <p>We believe that the key aspects of expert assessment of negative citing are:
 motivational, within which the expert analyzes the motivation of the negative response;
 discipline, within which the expert determines the importance of the marker of negative citing
in a particular subject area.</p>
      <p>When analyzing the motivation of a negative response, the expert must take into account the
scientific, ideological, gender, moral and ethical basis of its appearance. The presence of citations
with negative responses may indicate:
 the presence of significant shortcomings in the scientific research;
 non-compliance with the opponent's principles of academic integrity, professional and moral
and ethical standards for their benefit;
 controversial results of scientific research, which at the same time find both their supporters
and opponents;
 innovativeness/resonance of research results, which ahead of time causes criticism of the
dominant opinion of the scientific community.</p>
      <p>To nominate the ahead of time phenomenon, we propose the term "Copernicus Effect". This term
was already used to describe the latest scientific thought that causes us to look at the universe
differently [20]. The historical aspect of the introduction of this term is the precedent of harsh
criticism and prohibition of the spread of the heliocentric theory by the Polish medieval scientist
Nicolaus Copernicus by his contemporaries. Copernicus' revolutionary theory became the antithesis
of the dominant geocentric theory of the universe among theologians and scholars of the time. The
absolute influence of religion and the church in all spheres of public life led to the limitation of the
development of science by ideological boundaries. The teachings of Copernicus was not without
flaws but became a cornerstone for the formation of astronomy as an exact science. There have been
many similar precedents in the history of science. Drawing parallels with modernity, an example of
the realization of the Copernican effect can be considered a brilliant Ukrainian cosmologist Yuri
Kondratyuk (Olexander Shargei). He is the author of fundamental theoretical works in the field of
interplanetary flights, which were significantly ahead of the technical progress of his time and
therefore remained unnoticed for about half a century. It was Kondratyuk who in 1914 developed the
scheme, later called the Kondratyuk Route, which was used in the first flight to the moon under the
Apollo program in 1969. The neoteric scientific idea usually acquires the status of true with difficulty.
This is primarily due to the unwillingness of society to accept it through mental, worldview,
ideological, technical barriers.</p>
      <p>Therefore, the Copernicus Effect is characterized by the postponement of its fixation from the
moment of publication of innovative research results to the moment of disappearance of barriers to its
perception.</p>
      <p>Expert assessment of the motivation of negative citing is heuristic, as it is largely determined by
experience, creative intuition, worldview and scientific position of the expert. That is, expert
judgment a priori contains a component of subjectivism.</p>
      <p>Thus, if the identification and accounting of negative citing is a process of automated content
analysis, the indication of negative citing is a process of expert content analysis of secondary sources.
Combining the results of expert evaluation and parameterization will reduce the level of subjectivity
of the indication of negative citing.</p>
      <p>Consider an example of the risk of negative citation in assessing the importance of a scientific
publication.
3.3.</p>
    </sec>
    <sec id="sec-11">
      <title>Scenario analysis of the negative citing scheme</title>
      <p>By the basic citation analysis, it was found that the scientific publication, the primary source, was
cited  (</p>
      <p>, ) times. According to the methodology of traditional metrics, the importance of a
publication is determined by its citation. That is, a cumulative set of citations 
(
)
, which is
formed by all references to the publication outside the context of citation. The measure of the
publication's citability without taking into account the risk of negative citing is the powerset of the
cumulative set of citations
|
(
)| =  ( , )
.</p>
      <p>(12)</p>
      <p>To take into account the risk of negative citation, we move on to the variative component of the
evaluation. As a result of the analysis of the tonality of the text of the context fields of citations,
 (
+, ) citations with a positive or neutral response and  (
−, )citations with a negative
response to the primary source were identified (Fig. 2).</p>
      <p>In this case, the citability of primary source is represented by a set of positive citations
and a set of negative citations
( ) = {
(−)
( ) = {
1
(+)(
1
(−)(
), 
), 
2
(+)(
2
(−)(
), … , 
), … , 


(+)(
(−)(
), … } = {
), … } = {

(+)(

(−)(
the union of which forms a cumulative set of all citations
+, )
)}
 (
 =1
)}
 =1
 ( −, )
(13)
(14)
 ( ) =  ((+)) ⋃  ((−)), (15)
| ( )| =  ( ) =  ( +, ) +  ( −, ). (16)</p>
      <p>The fact of identification of сitations with a negative context is defined as a marker of the
scientist's belonging to the risk group of negative citing. This necessitates indication using the
coefficient of negative citing and expert assessment. In general, the process of implementing a
variative citation analysis taking into account the negative citation can be described by the following
algorithm (Fig. 3).</p>
    </sec>
    <sec id="sec-12">
      <title>4. Discussion</title>
      <p>The proposed method of variative citation analysis is developed to identify the risk of negative
citation when evaluating the quality of scientific content. The use of variative citation analysis will
allow:
 to increase the objectivity of evaluating the authority and impact of the researcher and the
quality of scientific content at the quantitative and qualitative levels. Identifying a marker of
negative citing will make it impossible to "wind up", "overestimate" the quantitative indicators of
scientific activity (total number of citations, h-index), which occurs during the summation of all
citations without regard to their context. Expert verification of negative citing is proposed to
strengthen the automated citation analysis. It will provide a final verdict on the identification of the
fact of a negative citing. That is, a variative citation analysis will make it possible to calculate
quantitative indicators for evaluating the authority of the scientist only based on citations with a
positive (neutral) context;
 to return the scientific discourse in the direction of an objective, critical assessment of
scientific achievements. After all, a critical assessment puts the publications of a certain author in
the focus of the scientific community. This will lead to a sharp increase in the citability of his
works and, accordingly, the growth of his quantitative scientometric indicators and the level of
authority. Therefore, researchers are interested in maintaining and increasing their positions, and
therefore prefer neutral, uncritical assessments of the results of research by colleagues, opponents.
Such an approach can have negative consequences both in the business sphere and in the social
sphere of public life. For example, uncritical attitudes toward medical research can reduce the
quality of health care. In all scientific and technical fields, this leads to a decrease in the
competitiveness and efficiency of scientific developments, in particular those introduced into
production. In sum, the lack of free critical discussion on scientific issues will hamper scientific
and technological progress.</p>
      <p>Based on the results of the study, an algorithm for the implementation of variative citation analysis
was developed, which can be implemented in the tools of modern bibliometric systems for the
identification and accounting of citations.</p>
      <p>The method of variative citation analysis requires further development at the empirical level.</p>
    </sec>
    <sec id="sec-13">
      <title>5. Conclusions</title>
      <p>A slice of modern bibliometric research indicates the urgent need to develop new alternative
metrics or improve existing ones. The methodological basis for quantitative assessment of the
authority and demand for scientific content is a basic citation analysis, which involves the
identification and accounting of citations of the primary source based on the content analysis of
bibliographic references in secondary sources.</p>
      <p>The considered basic citation scheme illustrates the idealized process of scientific communication.
It does not take into account the contextual field of the citation and does not cover the possible
variability of the results of scientific communication.</p>
      <p>To increase the objectivity of the evaluation of scientific content, it is necessary to move to a
variative level of citation analysis. It involves the identification and consideration of possible
methodological risks of traditional metrics.</p>
      <p>Implementation of a variative component of scientific content evaluation to take into account the
risk of negative citing involves identifying a marker of a scientist's risk group of negative citing,
verifying negative citing and analyzing the reasons for criticism, and indicating negative citing to
establish the weight of the marker in the certain subject area. Combining the results of expert
evaluation and parameterization will reduce the level of subjectivity of the indication of negative
citation.</p>
    </sec>
    <sec id="sec-14">
      <title>6. References</title>
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