<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Resolving Conflict Situations in Reddit Community Driven Discussion Platform</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Lviv Polytechnic National University</institution>
          ,
          <addr-line>Bandera Street, 12 79013 Lviv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <fpage>0000</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>The subject of conflict nature of the Reddit community driven discussion platform has been considered. The Reddit section entitled “Unpopular Opinion” has been selected, as it is a base for the most conflicting users' comments. The comments to the conflict situations have been discovered by means of linguistic markers and manipulative contexts. Phrases and sentences marked with manipulative, implicit or explicit nature of utterance have been found and grouped. The algorithm of sequence of step analysis concerning the Reddit social network comment system has been considered. The linguistic markers of the most contradictory posts have been analyzed using Linguistic Inquiry and Word Count (LIWC).</p>
      </abstract>
      <kwd-group>
        <kwd>Reddit community driven discussion platform</kwd>
        <kwd>conflict situation</kwd>
        <kwd>comment</kwd>
        <kwd>linguistic markers</kwd>
        <kwd>Linguistic Inquiry and Word Count (LIWC)</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        The conflict situation is an integral part of human nature. To manage it effectively it
takes time to be a skilled interlocutor. To find a solution to the raised issue requires
the following steps: to realize the conflict situation exists for real (being open about
the issue); to allow the communicators to freely exchange their opinions concerning
the issue (expressing emotions); to consider the problem (defining its negative
impact); to discover needs (before finding solutions); to agree on some points
(discussing what is in common); to keep in mind that something can go wrong (determining
other ways to deal with the issue).
bridging the gap between communicators in dispute trying to handle the conflict with
compromise. Moreover, such factors of human complexity nature as gender and
culture are involved. Culture provides individuals with particular roles to play in society
and duties they tend to be responsible for. Gender helps structure people’s activities
and relationship according to their preferences [
        <xref ref-type="bibr" rid="ref2 ref3">2, 3</xref>
        ]. A particular branch dealing with
language conflicts is called contact linguistics [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Sociologists mark ‘conflict’ as
disagreements which involve fearful conditions (implicit and explicit), preferences
and moral principles, the aim of which should strongly differ from those of another
representative group in order to balance the opposition or to stick to your area of
interest [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. Each conflict is resolved in the end, either peacefully or in a resistant
manner.
3
      </p>
    </sec>
    <sec id="sec-2">
      <title>Analysis of the Reddit conflict situations</title>
      <p>
        Reddit is one of the social entertaining and news networks which is suitable for social
analysis. It is a source of various insightful patterns of how to interact with each other
through a vast majority of comments [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. In this paper, there is an attempt to outline a
general structure of the Reddit social network and exemplify each step of its virtual
elaboration. Moreover, we allocate the section “Unpopular opinion” within the Reddit
social network as it possesses statements with the utmost degree of contradiction of
all sections included. In terms of this rubric we refer to the most challenging and
contradictory section of today – ‘Coronavirus Megathread’
(https://www.reddit.com/r/unpopularopinion/comments/fhrs6r/coronavirus_megathrea
d/). We apply five conflict response modes [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ] in order to handle the following
contradictory situations:
1. Compromising mode is characterized by its moderate assertiveness and moderate
cooperation. It involves negotiating, finding a middle ground, assessing value,
making concessions.
2. Accommodating mode is featured with low assertiveness and high cooperation.
      </p>
      <p>Such characteristics as forgetting your desires, selflessness, ability to yield,
obeying orders are considered.
3. Competing mode is represented by high assertiveness and low cooperation
encompassing the following: arguing or debating, using rank or influence, asserting your
opinions and feelings, standing your ground, stating your position clearly.
4. Avoiding mode has low assertiveness and low cooperation in terms of ability to
withdraw, ability to sidestep issues, ability to leave things unresolved, sense of
timing.
5. Collaborating mode is high assertiveness and high cooperation. Its skills are as
follows: active listening, nonthreatening confrontation, identifying concerns,
analyzing input.</p>
      <p>
        There are lively discussion statements and comments from different users in social
network Reddit. Taking into account lively statements and comments of a variety of
community members we select those for analysis to which linguistic markers of
manipulation, implicit and explicit influences, contradiction, arguments, approval,
disapproval, etc. can be applied [
        <xref ref-type="bibr" rid="ref10 ref11 ref12 ref13 ref8 ref9">8, 9, 10, 11, 12, 13</xref>
        ]. The rubric ‘Coronavirus Megathread’
can be sorted by such a range of comments as: best, top, new (suggested),
controversial, old, Q&amp;A. We choose controversial as it will be easier to trace the contradictory
nature of comments. The first Figure is a rubric (the one chosen challenging topic) in
a form of a statement to be discussed. The second Figure represents the member’s
comments sorted by the scale of controversy. We analyze the comments referring
closely to the statement and those having any modes of conflict responses (Fig. 1, Fig.
2).
After initial comment we define such linguistic markers in next comments (NC) (Fig.
3) and further comments (FC) (Fig. 4). The NC are defined when there are linguistic
markers which indicate any of the above-mentioned conflict response modes. Each of
them has its own degree of conflict response mode. The first NC and its FC to the
initial comment are as follows:
 NC: Trump and his admin have not been giving consistent messaging; If he and his
administration can't get his shit together by the middle of next week, I can't in good
conscience vote red next election. I just can't
(competing – standing your ground, stating your position clearly),
 FC: Why are you blaming Trump when you just laid out exactly…
(accommodating – ability to yield), They both fucked up. Someone decided not to use the WHO
test. the CDC fucked up, and since he's the boss, he is accountable too
(collaborating – identifying concerns, analyzing input), I (usually) vote red too. This might be
the most coherent, fair and informative criticism of trump I’ve ever seen. You’re a
rare breed (collaborating – nonthreatening confrontation, analyzing input), Lol
imagine thinking Trump is a decent president now or compared to most any who
preceded him. He's ignorant and incompetent (avoiding – ability to sidestep issues,
ability to leave things unresolved, sense of timing), Americans need to pull Trump
out of the White House tonight (competing – arguing or debating, using rank or
influence, asserting your opinions and feelings), Wow. That’s a scary opinion since it
would violate our democracy but I wouldn’t say it’s an unpopular one lol (avoiding
– ability to withdraw, ability to sidestep issues, ability to leave things unresolved).
The outrageous behavior concerning the president is expressed explicitly by means of
obscenities, implicitly – by rhetorical questions, spoken exclamations.
Each ‘next comment’ has its own comment followed by “n more replies”, where n –
number of opinions of community members, who comment on the initial comment
using their own behavioral social patterns through virtual environment → (Fig. 4).
Next topic concerning the main statement is represented by the following NC (Fig. 5).
 NC: All this talk of "selfishness" and "hysteria" is just their way of coping with the
anger of being late to the party
(competing – standing your ground, stating your position clearly), It is not my
problem you waited until the pandemic was right in our faces before taking
precautions (competing – arguing, asserting your opinion and feeling), Stop whining, be
proactive about being prepared for emergencies (competing – stating your position
clearly),
 FC: That's what it is though. It's selfish. Healthy individuals are wayyy
overpurchasing (collaborating – identifying concerns, analyzing input), Only anticipate the
actual need and stretch it as much as possible. Don't over stock and say, "Well, it's
your fault I made it there before you." That's heartless (accommodating – obeying
orders are considered), These masks are NOT medical masks and will do
NOTHING to stop a virus yet panic buying folks have depleted them. So now
work that needed to be done isn't being done (accommodating – ability to yield),
Why are medical professionals sourcing their PPE from the same location as
civilian customers? That seems like a supply chain problem (avoiding – ability to leave
things unresolved), Thats awesome. MANY companies are not that large and do
buy from local stores in the area I am in. The point is moot apparently (competing
– stating your position clearly).
      </p>
      <p>This comment section is characterized by explicit negative contradictory tone of the
comments and explicit rhetorical questions.</p>
      <p>Next Comments relate to the rubric-statement concerning the controversy in terms of
Coronovirus itself (Fig. 6).
 NC: Let me preface by saying that I'm not glad that people are dying and suffering
in any way because of COVID-19, but..(competing – stating your position clearly),
 FC: Coronavirus is a good thing because all the healthy people are coming out
alright or better, and all the old people and people in poor health who can't
contribute to the economy or the better advancement of humanity are dying off (avoiding
– ability to leave things unresolved), Why should I care if some 80-year-old who
has lived their life, but continues to live because modern medicine refuses to let
them die, dies off? (collaborating – identifying concerns), Is it sad? Not really. A
lot of people die every day (accommodating – selflessness, ability to yield), The
truth is this thing is serious. Trump supporters. Listen I honestly have defended
Trump many times and have tired to be fair unlike most Americans. Do I like him?
No. But I’ve defended him at times and understand why people like him. But stop
giving him excuses (collaborating – identifying concerns, analyzing input), You
can deny news but I think there are truths to what people are saying about this virus
and disease (collaborating – identifying concerns, analyzing input), But to be
optimistic our country need to not give up and not think things will be hard
(collaborating – identifying concerns, analyzing input),
Again this isn’t war but this situation isn’t a joke (collaborating – identifying
concerns, analyzing input).</p>
      <p>This comment section is too controversial as members easily raise the issue of death
in a sarcastic way and simultaneously try not to implicitly sound too much rude.
Even such ridiculous comment sections occur as the following (Fig.7). But it only
proves that a range of human social patterns can be unexpectedly various, and they
are often intensified when the panic factor takes place.
 NC: Those who survive, survive and those who die, die. Everyone who lives
develops immunity and the virus is completely wiped out (competing – asserting your
opinions and feelings, standing your ground, stating your position clearly),
 FC: This is stupid on so many levels (competing – arguing or debating), You could
say it’s unpopular being stupid endangers others, being unpopular only affects
yourself. I just made that up. Does it sound right? (collaborating – nonthreatening
confrontation), Sounds good to me (collaborating – nonthreatening confrontation),
Explain yourself? Everyone should get infected by the coronavirus? Are you
willing to submit yourself to that? Are you willing to submit all your friends and
family to that? Are you willing to put your money where your mouth is and watch as a
percentage of the people you know die? (accommodating – ability to yield), Yeah
sign me up! Where’s the closest person you know with Coronavirus? I’ll square up
(accommodating – ability to yield), Wow Darwinism hope ur part of the equation
that gets wiped out since its just an opinion for u. Or maybe I should live as watch
the ones u love die one by one. Yeah second choice (competing – arguing or
debating).</p>
      <p>
        This comment section is rather sharp than previous ones as each comment is
expressed explicitly in a rude way in rhetoric questions and assertive statements.
In Fig. 8 there is an algorithm covering the general structure of the Reddit social
network comment system, which was described in detail in previous publication.
In order to define linguistic markers and some psychological patterns we apply
Linguistic Inquiry and Word Count (LIWC, https://liwc.wpengine.com/results/). It is a
text analysis program that counts word for semantic groups as well as structural
characteristics. This program groups psychologically and linguistically marked categories.
It checks target words in the dictionary and calculates frequencies. Such trustworthy
results have been used in a lot of studies to allocate data concerning personality [
        <xref ref-type="bibr" rid="ref14 ref16 ref19">14,
16, 19</xref>
        ], deception [
        <xref ref-type="bibr" rid="ref15 ref17 ref20 ref21">15, 17, 20, 21</xref>
        ], and health [
        <xref ref-type="bibr" rid="ref14 ref18">14, 18</xref>
        ]. Of course, such overview of
the LIWC automatic analysis does not claim 100% true results, but in order to prove
controversial factor of the rubric comment section it is more than enough (Fig. 9).
      </p>
      <p>Fig.8 General structure of the Reddit social network
Fig. 9 Percentage overview of the LIWC automatic analysis of the semantics of the</p>
      <p>Reddit comment section
In comparison to the average for social media our textual comments represent and
prove their contradictory nature, particularly, when it comes to negative emotions,
social words and cognitive processes. All other indicators do not influence a general
layout of the material analyzed.</p>
      <p>The following Reddit statements will be beneficially analyzed and compared between
each other to fully detect the capacity of resolving conflict situations in a social
network environment.</p>
    </sec>
    <sec id="sec-3">
      <title>Conclusions</title>
      <p>The section itself (‘Coronavirus Megathread’) sounded contradictory as it was chosen
in terms of contradictory statements. Particular statements of comment section were
selected and analyzed according to implicit and explicit linguistic nature of
utterances. In this paper a general structure of the Reddit social network and exemplifications
of each step of its virtual elaboration as well as conflict response modes and its
possible strategic solving principles were considered. The analysis of linguistic markers of
discussion was outlined. To define the ways of dealing with a conflict statement, the
conflict response modes were applied to the comments. As a result, five different
conflict response modes were allocated. The frequency of response conflict modes of
these conversations was calculated (see Table 1).</p>
      <p>Comment
section
In general, competing and collaborating conflict response modes dominated in these
comments. They show that the discussion was active and community members
emotionally reacted and responded in order to gain a necessary result of conversation.
Compromising was not achieved as none of the comments was discussed for a while.
Accommodating was characterized with sharp explicit rhetorical questions and ability
to yield. The most frequent conflict response mode was collaborating, as people
eagerly identified concerns, analyzed inputs and confronted non-threateningly.
The contradictory statements were solved in a rhetoric way implicitly or explicitly but
bombarded with various opinions, facts, evidences and user’s own experience. The
LIWC automatic analysis of the semantics of the Reddit comment section was
conducted.
5</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Cohen</surname>
            <given-names>R.</given-names>
          </string-name>
          :
          <article-title>Language and conflict resolution International Studies Review</article-title>
          , vol.
          <volume>3</volume>
          , no.
          <issue>1</issue>
          , pp.
          <fpage>25</fpage>
          -
          <lpage>51</lpage>
          (
          <year>2001</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Mazurana</surname>
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Proctor</surname>
            <given-names>K.</given-names>
          </string-name>
          :
          <string-name>
            <surname>Gender</surname>
          </string-name>
          , Conflict and Peace. Occasional Paper by World Peace Foundation (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Akachi</surname>
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>King-Aribisala</surname>
            <given-names>K.</given-names>
          </string-name>
          :
          <string-name>
            <surname>Literature</surname>
            , Language and
            <given-names>National</given-names>
          </string-name>
          <string-name>
            <surname>Consciousness</surname>
          </string-name>
          . Lagos: University of Lagos Press, pp.
          <fpage>81</fpage>
          -
          <lpage>103</lpage>
          (
          <year>2006</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Tobalase</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Portrayal of Masculinity in the Selected Works of Some Nigerian Novelists</article-title>
          . Babacock University (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Trimikliniotis</surname>
            <given-names>N.</given-names>
          </string-name>
          :
          <article-title>Sociology of reconciliation: Learning from comparing violent conflicts and reconciliation processes</article-title>
          , vol.
          <volume>61</volume>
          , issue 2, pp.
          <fpage>244</fpage>
          -
          <lpage>264</lpage>
          , University of Nicosia and PRIO Cyprus Centre,
          <string-name>
            <surname>Cyprus</surname>
          </string-name>
          (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <given-names>Singer</given-names>
            <surname>Ph</surname>
          </string-name>
          .:
          <article-title>Evolution of reddit: from the front page of the internet to a self-referential community</article-title>
          .
          <source>In: Proceedings of the companion publication of the 23rd international conference on World wide web companion</source>
          .
          <source>International World Wide Web Conferences Steering Committee</source>
          (
          <year>2014</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Tobalase</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Conflict and Resolution: The Roles of Language, Culture, Gender and Literature</article-title>
          . Adeleke University (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Albota</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Yakovyna</surname>
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleshchyshyn</surname>
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Discussions of Wikipedia Talk Pages: manipulations detected by lingual-psychological analysis</article-title>
          .
          <source>In: CEUR Workshop Proceedings</source>
          , vol.
          <volume>2392</volume>
          : Proceedings of the 1st International workshop on control,
          <source>optimisation and analytical processing of social networks (COAPSN-2019)</source>
          , pp.
          <fpage>309</fpage>
          -
          <lpage>320</lpage>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Albota</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Peleshchyshyn</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dosyn</surname>
            <given-names>D.</given-names>
          </string-name>
          :
          <article-title>Linguistic traces of psychological manipulations in discussions of wikipedia talk pages</article-title>
          .
          <source>In: CEUR Workshop Proceedings</source>
          , vol.
          <volume>2386</volume>
          : the 8th International Conference on “Mathematics. Information Technologies.
          <article-title>Education”, (MoMLeT&amp;DS-</article-title>
          <year>2019</year>
          ), pp.
          <fpage>183</fpage>
          -
          <lpage>193</lpage>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Peleshchyshyn</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Merkovets</surname>
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Vus</surname>
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Albota</surname>
            <given-names>S.:</given-names>
          </string-name>
          <article-title>Identifying specific roles of users of social networks and their influence method</article-title>
          .
          <source>In: 13th International Scientific and Technical Conference on Computer Science and Infromation Technologies</source>
          , pp.
          <fpage>39</fpage>
          -
          <lpage>42</lpage>
          (
          <year>2018</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Albota</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Melnykova</surname>
            <given-names>N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Buchyn</surname>
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fedushko</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kashuba</surname>
            <given-names>S.:</given-names>
          </string-name>
          <article-title>The Special Ways for Processing Personalized Data during Voting in Elections</article-title>
          .
          <source>In: Advances in Intelligent Systems and Computing (AISC) IV</source>
          , pp.
          <fpage>781</fpage>
          -
          <lpage>791</lpage>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Peleshchyshyn</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Vus</surname>
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Albota</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Markovets</surname>
            <given-names>O.</given-names>
          </string-name>
          :
          <article-title>A Formal Approach to Modeling the Characteristics of Users of Social Networks Regarding Information Security Issues</article-title>
          . In: Hu Z.,
          <string-name>
            <surname>Petoukhov</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>He</surname>
            <given-names>M</given-names>
          </string-name>
          . (eds)
          <source>Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing</source>
          , vol
          <volume>902</volume>
          , pp.
          <fpage>485</fpage>
          -
          <lpage>494</lpage>
          . Springer, Cham (
          <year>2020</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          13.
          <string-name>
            <surname>Khomytska</surname>
            <given-names>I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Teslyuk</surname>
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Holovatyy</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Morushko</surname>
            <given-names>O.</given-names>
          </string-name>
          :
          <article-title>Development of methods, models, and means for the author attribution of a text</article-title>
          .
          <source>In: EasternEuropean Journal of Enterprise Technologies</source>
          , vol.
          <volume>3</volume>
          , issue
          <volume>2</volume>
          (
          <issue>93</issue>
          ), pp.
          <fpage>41</fpage>
          -
          <lpage>46</lpage>
          (
          <year>2018</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          14.
          <string-name>
            <surname>Pennebaker</surname>
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mayne</surname>
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Francis</surname>
            <given-names>M.:</given-names>
          </string-name>
          <article-title>Linguistic predictors of adaptive bereavement</article-title>
          .
          <source>Journal of personality and social psychology</source>
          ,
          <volume>72</volume>
          (
          <issue>4</issue>
          ),
          <volume>863</volume>
          (
          <year>1997</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          15.
          <string-name>
            <surname>Newman</surname>
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pennebaker</surname>
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Berry</surname>
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Richards</surname>
            <given-names>J</given-names>
          </string-name>
          .:
          <article-title>Lying words: Predicting deception from linguistic styles</article-title>
          .
          <source>Personality and social psychology bulletin</source>
          ,
          <volume>29</volume>
          (
          <issue>5</issue>
          ),
          <fpage>665</fpage>
          -
          <lpage>675</lpage>
          (
          <year>2003</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          16.
          <string-name>
            <surname>Tausczik Yla</surname>
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pennebaker</surname>
            <given-names>J.W.:</given-names>
          </string-name>
          <article-title>The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods</article-title>
          .
          <source>Journal of Language and Social Psychology</source>
          ,
          <volume>29</volume>
          (
          <issue>1</issue>
          ), pp.
          <fpage>24</fpage>
          -
          <lpage>54</lpage>
          (
          <year>2010</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          17.
          <string-name>
            <given-names>McCarthy</given-names>
            <surname>Ph. M.</surname>
          </string-name>
          ,
          <string-name>
            <surname>Boonthum-Denecke Ch</surname>
          </string-name>
          .
          <source>: Applied Natural Language Processing: Identification, Investigation and Resolution</source>
          , p.
          <fpage>659</fpage>
          ,
          <string-name>
            <surname>USA</surname>
          </string-name>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          18.
          <string-name>
            <surname>Ziemer</surname>
            <given-names>K.S.</given-names>
          </string-name>
          , Korkmaz G.:
          <article-title>Using Text to Predict Psychological and Physical Health: A Comparison of Human Raters and Computerized Text Analysis</article-title>
          .
          <source>Computers in Human Behavior</source>
          ,
          <volume>76</volume>
          , pp.
          <fpage>122</fpage>
          -
          <lpage>127</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          19.
          <string-name>
            <surname>Vysotska</surname>
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sachenko</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lytvyn</surname>
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Burov</surname>
            <given-names>Y.</given-names>
          </string-name>
          :
          <article-title>Information resources processing using linguistic analysis of textual content</article-title>
          .
          <source>In: 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)</source>
          , Bucharest, pp.
          <fpage>573</fpage>
          -
          <lpage>578</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          20.
          <string-name>
            <surname>Masip</surname>
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bethencourt</surname>
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lucas</surname>
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sanchez-San Segundo</surname>
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Herrero</surname>
            <given-names>C.</given-names>
          </string-name>
          :
          <article-title>Deception Detection from Written Accounts</article-title>
          .
          <source>Scandinavian Journal of Psychology</source>
          ,
          <volume>53</volume>
          (
          <issue>2</issue>
          ), pp.
          <fpage>103</fpage>
          -
          <lpage>111</lpage>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          21.
          <string-name>
            <surname>Perez-Rosas</surname>
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mihalcea</surname>
            <given-names>R.</given-names>
          </string-name>
          :
          <article-title>Cross-cultural Deception Detection</article-title>
          .
          <source>In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers)</source>
          , pp.
          <fpage>440</fpage>
          -
          <lpage>445</lpage>
          (
          <year>2014</year>
          ).
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>