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  <journal-id journal-id-type="publisher-id">70</journal-id>
  <journal-id journal-id-type="short-title">gdpmr</journal-id>
  <journal-id journal-id-type="doi">10.31703/gdpmr</journal-id>
  <journal-title-group>
    <journal-title>Global Digital &amp; Print Media Review</journal-title>
    <abbrev-journal-title abbrev-type="publisher">gdpmr</abbrev-journal-title>
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  <issn publication-format="print">2788-4945</issn>
  <issn publication-format="electronic">2788-4988</issn>
  <self-uri xlink:href="https://gdpmrjournal.com"/>
  <publisher>
    <publisher-name>Humanity Publications</publisher-name>
    <publisher-loc>Pakistan</publisher-loc>
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<article-meta>
  <article-id pub-id-type="publisher-id">394002</article-id>
  <article-id pub-id-type="doi">10.31703/gdpmr.2022(V-III).07</article-id>
  <article-id pub-id-type="other" specific-use="submission-id">4471</article-id>
  <article-version article-version-type="publisher">1.0</article-version>
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      <subject>article</subject>
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  <title-group>
    <article-title xml:lang="en">Use of Twitter for Political Socialization in Pakistan</article-title>
  </title-group>
<contrib-group>
  <contrib contrib-type="author" seq="1" corresp="yes">
    <name>
      <surname>Khan</surname>
      <given-names>Noor Nabi</given-names>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
    <xref ref-type="aff" rid="aff1"/>
    <xref ref-type="corresp" rid="cor1"/>
  </contrib>
  <contrib contrib-type="author" seq="2">
    <name>
      <surname>Akbar</surname>
      <given-names>Muhammad Waseem</given-names>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
    <xref ref-type="aff" rid="aff2"/>
  </contrib>
  <contrib contrib-type="author" seq="3">
    <name>
      <surname>Jan</surname>
      <given-names>Azam</given-names>
    </name>
    <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
    <xref ref-type="aff" rid="aff3"/>
  </contrib>
  <aff id="aff1">
    <label>1</label>
    <institution-wrap>
      <institution>Department of Communication &amp; Media Studies, Gomal University, Dera Ismail Khan</institution>
    </institution-wrap>
    <named-content content-type="author-role">PhD Scholar</named-content>
    <addr-line>KP</addr-line>
    <country>Pakistan</country>
  </aff>
  <aff id="aff2">
    <label>2</label>
    <institution-wrap>
      <institution>Department of Communication &amp; Media Studies, Gomal University, Dera Ismail Khan</institution>
    </institution-wrap>
    <named-content content-type="author-role">Associate Professor</named-content>
    <addr-line>KP</addr-line>
    <country>Pakistan</country>
  </aff>
  <aff id="aff3">
    <label>3</label>
    <institution-wrap>
      <institution>Department of Communication &amp; Media Studies, Hazara University, Mansehra</institution>
    </institution-wrap>
    <named-content content-type="author-role">Assistant Professor</named-content>
    <addr-line>KP</addr-line>
    <country>Pakistan</country>
  </aff>
</contrib-group>
<author-notes>
  <corresp id="cor1">Corresponding Author: Noor Nabi Khan, PhD Scholar, Department of Communication &amp; Media Studies, Gomal University, Dera Ismail Khan, KP, Pakistan</corresp>
<fn fn-type="COI-statement" id="fn-coi">
  <p>The authors declare that they have no conflicts of interest.</p>
</fn>
<fn fn-type="ethics-statement" id="fn-ethics">
  <p>This study did not require formal ethics approval.</p>
</fn>
<fn fn-type="data-availability-statement" id="fn-data">
  <p>Data sharing is not applicable to this article.</p>
</fn>
</author-notes>
<pub-date pub-type="epub" date-type="pub" publication-format="electronic">
  <day>30</day>
  <month>09</month>
  <year>2022</year>
</pub-date>
<pub-date pub-type="collection">
  <month>09</month>
  <year>2022</year>
</pub-date>
<pub-date date-type="pub" publication-format="print">
  <day>28</day>
  <month>10</month>
  <year>2022</year>
</pub-date>
  <volume>5</volume>
  <issue>3</issue>
  <season>Summer</season>
  <fpage>68</fpage>
  <lpage>76</lpage>
  <history>
    <date date-type="accepted">
      <day>28</day>
      <month>10</month>
      <year>2022</year>
    </date>
  </history>
<funding-group>
  <funding-statement>
<p>The authors received no specific funding for this work.</p>
  </funding-statement>
</funding-group>
<permissions>
  <copyright-year>2022</copyright-year>
  <copyright-holder>Humanity Publications</copyright-holder>
  <license license-type="open-access" xml:lang="en" xlink:href="https://creativecommons.org/licenses/by/4.0/">
    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License.</license-p>
  </license>
</permissions>
<self-uri content-type="text/html" xlink:href="https://gdpmrjournal.com/article/use-of-twitter-for-political-socialization-in-pakistan"/>
<self-uri content-type="pdf" xlink:href="https://gdpmrjournal.com/pdf/gdpmr/6opYACfjfj.pdf"/>
<supplementary-material id="suppl-pdf" content-type="pdf" xlink:href="https://gdpmrjournal.com/pdf/gdpmr/6opYACfjfj.pdf">
  <label>PDF</label>
  <caption>
    <title>Full Text PDF</title>
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</supplementary-material>
  <abstract>
    <p>People especially, younger generations use Twitter for various purposes, including political socialization. This research aims at exploring Twitter&apos;s usage for political socialization among young people in Khyber Pakhtunkhwa, Pakistan. The Uses and Gratification theory provides a theoretical framework to the present research study. A survey research technique is used for the purpose of data collection. A standardized questionnaire was used as the research tool in this quantitative research. The population for this study was taken from the students reading in different Universities of Khyber Pakhtunkhwa. In total, 525 students were selected on the basis of convenient sampling. The sample size was measured following Cochran&apos;s formula. 501 students positively responded to the questionnaire. Analysis of the data revealed that political parties and,politicians interact with voters via Twitter for political socialization.</p>
  </abstract>
<kwd-group kwd-group-type="author-keywords">
  <kwd>Twitter</kwd>
  <kwd>Political Socialization</kwd>
  <kwd>Pakistan</kwd>
  <kwd>Youth</kwd>
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</front>
<body>
<sec id="sec-1">
  <title>Introduction</title>
<p>Social networking platforms have been playing key role in affecting human social life. The political behaviour of the people in particular has been changed out rightly. Given this role of social networking sites, political parties, and their leaders are activating their workers to attract as many supporters as they can via these online channels, especially twitter. According to Tang and Hew (2017), Twitter has created a new avenue for the dissemination of information and has witnessed enormous user growth since its start in 2006. One of the microblog services, it enables consumers to send and get information instantly by posting a public message with 280 characters which previously had 140 characters, and this communication is known as a tweets (Azeema, Abbasi, &amp; Ansari, 2020). Social Networking Sites such as Twitter, Facebook, and Instagram have rapidly advanced across the globe including Pakistan, especially among youngsters (Waqas, Afzal, Zaman, &amp; Sabir, 2016). Twitter creates enormous amounts of text with political insights that can be mined to study public opinion and forecast future election patterns (Ansari, et al, 2020).</p><p>Role of Twitter in Politics</p><p>Political leaders across the globe interact personally with voters via Twitter, where they communicate their own distinct agendas without any restrictions (Caplan, 2013).</p><p>Politicians, particularly during election campaigns, make extensive use of Twitter. As Tumasjan, Sprenger, Sandner, and Welpe (2010) proclaimed that Barack Obama&apos;s presidential campaign in 2008 catapulted Twitter to the center of American politics, demonstrating how it might be utilized to efficiently engage with prospective voters. In the same way, Batool, Ahmed, Mahmood, and Saeed (2021) asserted that the usage of internet platforms such as Twitter during the US presidential election in 2008 helped Barack Obama win. With over 20 million tweets on November 6, 2012, alone, Election Day 2012 became the most talked about event in US political history. With approximately 800,000 retweets by 8:16 PM on Election Day, Barack Obama&apos;s winning tweet, headlined &quot;Four more years,&quot; was the most retweeted tweet to that moment in time (Buratti, 2014).</p><p>Donald J. Trump and his followers used Twitter to mobilize their fans and outperformed the conventional Republican Party during the 2016 US elections. Twitter was a quiet political instrument that has contributed to Trump&apos;s success. Donald Trump was the most creative Twitter user in politics with more than 43 million followers and over 36,000 tweets. Trump has been an extremely active Twitter user prior to his 2016 presidential campaign. He has tweeted 7.5 times daily on average since September 28, 2016. Trump referred to Twitter as a &quot;powerful phenomenon,&quot; a &quot;modern way of communication,&quot; and during his campaign, spoke of the millions of followers he had on social media (Anderson, 2017: Marx, 2017)).</p><p><break/></p><p>Role of Twitter in the Politics of Pakistan</p><p>Politicians in Pakistan also use Twitter. Every politician has followers and opponents who influence the course of their destiny. Khan et al. (2020) conducted a study which emphasized on the supporters&apos; network of three prominent Pakistani political influentials: Imran Khan (IK), Maryam Nawaz Sharif (MNS), and Bilawal Bhutto Zardari (BBZ). According to the survey, IK has a robust support system and is more prominent on Twitter than MNS and BBZ. The statistics noted Khan as the most well-known of the three politicians and had the largest supporter base, while utilizing Twitter in a fairly regulated manner.</p><p><break/></p><p>Political Socialization</p><p>Political socialization refers to the process by which individuals form relationships with the political environment and acquire knowledge, beliefs, values, and behaviours that shape their political identity (Papaoikonomou, 2017). Political socialization’s primary goal is to pass along political values from one generation to the next. It is a process by which people pick up on fundamental political ideas, attitudes, and practices as well as political behaviour and conventions (Gupta, 2022).</p><p>There are many agents of political socialization. The family is the initial agent in a person&apos;s socialization. Parents instill in their children political and social awareness as well as an interest in politics (Rahman, et al, 2021). Religion is another agent involved in the socialization process. Parents&apos; religiosity has the greatest influence on their adult offspring&apos;s religiosity, teenage experiences have independent consequences on religious behaviour (Nelson, 2004). Schools can support civic norms, offer civic education programs, and encourage political discussion in the classroom (Lee, 2016). Peers groups are described as social groupings made up of individuals of the same age, which play a vital part in political socialization (Blazevic, 2016). Social scientists are now more frequently acknowledging the state&apos;s function as a socialization agent due to its growing impact on the life cycle (Gulzar, 2020). Political socialization writers have recognized the importance of political parties in the political socialization of individuals, and they regard political parties as the primary mobilizers of people (Deb, 2015). The mass media may be an effective instrument for political socialization as well (Kononova, Alhabash, &amp; Cropp, 2011).</p><p><break/></p><p>Theoretical Framework</p><p>The current study is based on Uses and</p><p>Gratifications Theory (U&amp;G). The idea of uses and gratifications (U&amp;G) was introduced to the public in the 1940s and became popular in the late 1950s and early 1960s (Weiyan, 2015).  Elihu Katz was the first to present the theory. In the early 1970s, he and his two collaborators, Jay Blumler and Michael Gurevitch began to extend the idea. This idea was deemed modern at the time since it opposed prior perspectives or paradigms that thought mass media audiences were passive. According to the uses and gratifications theory, the audience is active, which means that they actively seek out certain media and material to attain certain results or gratifications that meet their own requirements (Kania &amp; Agatha, 2012).</p><p>Many people believe that the Uses and Gratification Theory is outdated. However, the rise of social media has given fresh life to this stale theory (Musa, Azmi, &amp; Ismail, 2015).</p><p>Adil, Mahmood, Hussain, and Rehman (2021) revealed that Social media platforms including Twitter, Facebook, WhatsApp, YouTube, and Wikipedia are frequently used by young people in Pakistan. In order to satisfy their needs, they are commonly observed obtaining, sharing, talking about, debating, and commenting on political matters on social media sites.  Similarly, Khan, Ali, and Abbas (2021) pointed out that Pakistani youth especially, of Khyber Pakhtunkhwa use Social Networking Sites for a variety of purposes in order to satisfy their needs. They are more inclined to use sites like Twitter for political information in order to satisfy their political needs.</p><p><break/></p><p><break/></p><p>Objectives of the Study</p><p>1.	To investigate twitter’s usage of political parties and leaders in KP</p><p>2.	To find out twitter’s role in affecting voters’ turn out in KP.</p><p>3.	To explore twitter’s influence in bringing political parties closer to voters.</p><p>4.	To search out twitter’s role of convincing people in joining political demonstrations.</p>
</sec>
<sec id="sec-2">
  <title>Research Methodology</title>
<p>The study is based on quantitative methods to identify the pattern of political socialization among the sample students by exposing them to the social networking site, twitter. The research was undertaken by making use of the survey method.  For the purpose of data collection, the University of Peshawar and Islamia College University Peshawar were chosen from the public sector, and Qurtuba University of Science and Information Technology, Peshawar, and Sarhad University of Science and Information Technology, Peshawar were chosen from the private sector. The students of BS level (four years), MSc (two years), MS/M.Phil, and PhD were selected for the survey. A sample of 525 students was taken at the ratio of 2% (Cochran’s Formula) from the total population of 26234 of the four universities.</p>
</sec>
<sec id="sec-3">
  <title>Results</title>
<p>In the first step, various
demographic categories such as gender, university, study program, age, and
location, are analyzed. Each demographic attribute is examined using a single
lengthy table.</p> <p><break/></p> <table-wrap id="table1"><label>Table 1</label><caption><title>Demographics of the Respondents</title></caption><table><thead><tr><th> <p><bold>Category</bold></p> </th><th> <p><bold>Values</bold></p> </th><th> <p><bold>Frequency</bold></p> </th><th> <p><bold>Valid Percent</bold></p> </th><th> <p><bold>Cumulative Percent</bold></p> </th></tr></thead><tbody><tr><td rowspan="2"> <p>Gender</p> </td><td> <p>Male</p> </td><td> <p>352</p> </td><td> <p>70.3</p> </td><td> <p>70.3</p> </td></tr><tr><td> <p>Female</p> </td><td> <p>149</p> </td><td> <p>29.7</p> </td><td> <p>100</p> </td></tr><tr><td rowspan="4"> <p>University</p> </td><td> <p>University
  of Peshawar</p> </td><td> <p>261</p> </td><td> <p>52.1</p> </td><td> <p>52.1</p> </td></tr><tr><td> <p>Islamia
  College University</p> </td><td> <p>124</p> </td><td> <p>24.8</p> </td><td> <p>76.8</p> </td></tr><tr><td> <p>Qurtuba
  University  Peshawar</p> </td><td> <p>25</p> </td><td> <p>5</p> </td><td> <p>81.8</p> </td></tr><tr><td> <p>Sarhad
  University  Peshawar</p> </td><td> <p>91</p> </td><td> <p>18.2</p> </td><td> <p>100</p> </td></tr><tr><td rowspan="4"> <p>Study
  Program</p> </td><td> <p>BS</p> </td><td> <p>338</p> </td><td> <p>67.5</p> </td><td> <p>67.5</p> </td></tr><tr><td> <p>MA/Msc</p> </td><td> <p>52</p> </td><td> <p>10.4</p> </td><td> <p>77.8</p> </td></tr><tr><td> <p>Mphil/MS</p> </td><td> <p>79</p> </td><td> <p>15.8</p> </td><td> <p>93.6</p> </td></tr><tr><td> <p>PhD</p> </td><td> <p>32</p> </td><td> <p>6.4</p> </td><td> <p>100</p> </td></tr><tr><td rowspan="4"> <p>Age</p> </td><td> <p>16-20</p> </td><td> <p>167</p> </td><td> <p>33.3</p> </td><td> <p>33.3</p> </td></tr><tr><td> <p>21-25</p> </td><td> <p>232</p> </td><td> <p>46.3</p> </td><td> <p>79.6</p> </td></tr><tr><td> <p>26-30</p> </td><td> <p>58</p> </td><td> <p>11.6</p> </td><td> <p>91.2</p> </td></tr><tr><td> <p>more
  than 30</p> </td><td> <p>44</p> </td><td> <p>8.8</p> </td><td> <p>100</p> </td></tr><tr><td rowspan="2"> <p>Locality</p> </td><td> <p>Rural</p> </td><td> <p>226</p> </td><td> <p>45.1</p> </td><td> <p>45.1</p> </td></tr><tr><td> <p>Urban</p> </td><td> <p>275</p> </td><td> <p>54.9</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p><italic>N=501</italic></p>  <p><break/></p> <p>Overall
525 students participated in the survey. Thirteen (13) questionnaires were
wrongly filled, nine questionnaires were not returned and three participants
were not users of Social Networking Sites. Thus, these questionnaires are
excluded from data analysis. In the remaining 501 respondents, there were 352
male respondents and 149 female students. The gender category in table No.1
showed that 70.3% survey participants were male while 29.7% were female.</p> <p>The outcomes disclosed that
out of 501 students, 52.1% students belonged to the University of Peshawar followed by
24.8% students of Islamia College University whereas 18.2 % were studying in
Sarhad University Peshawar and only 5% of the participants were</p> <p>from Qurtuba University Peshawar.</p> <p>As far as the study program
is concerned, the results revealed that 67.5% of the participants were studying
in BS program followed by 15.8% in M.Phil/MS while 10.4% in MA/Msc and
only 6.4% were enrolled in the PhD program.</p> <p>The outcome of the age group
showed that 46.3% of the respondents belonged to the 21-25 age group followed
by 33.3% in the age of 16-20 years whereas 11.6% in the age of 26-30 years and
only 8.8% were more than 30 years old. The last demographic category in the
table is locality. The outcomes revealed that 54.9% of survey members belonged
to urban areas whereas 45.1% belonged to rural regions.</p> <p><break/></p>  <table-wrap id="table2"><label>Table 2</label><caption><title>Use of SNSs</title></caption><table><tbody><tr><td> <p><bold>Value</bold></p> </td><td> <p><bold>Frequency</bold></p> </td><td> <p><bold>Valid Percent</bold></p> </td><td> <p><bold>Cumulative Percent</bold></p> </td></tr><tr><td> <p>Facebook</p> </td><td> <p>196</p> </td><td> <p>39.1</p> </td><td> <p>39.1</p> </td></tr><tr><td> <p>Twitter</p> </td><td> <p>90</p> </td><td> <p>18</p> </td><td> <p>57.1</p> </td></tr><tr><td> <p>Instagram</p> </td><td> <p>62</p> </td><td> <p>12.4</p> </td><td> <p>69.5</p> </td></tr><tr><td> <p>You
  Tube</p> </td><td> <p>118</p> </td><td> <p>23.6</p> </td><td> <p>93</p> </td></tr><tr><td> <p>WhatsApp</p> </td><td> <p>35</p> </td><td> <p>7</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p><italic>N=501</italic></p>  <p><break/></p> <p>Table 2 indicates the social
media platform used by the respondents of different universities of Peshawar.
It reveals that 39.1% (N=196) of respondents use Facebook followed by 23.6%
(N=118) respondents use YouTube while 18% (N=90) respondents use Twitter and
12.4% (N=62) respondents use Instagram and only 7% (N=35) respondents use
WhatsApp social media platform.</p> <p><bold><break/> </bold></p>  <table-wrap id="table3"><label>Table
3</label><caption><title>Mode of Access to Twitter</title></caption><table><tbody><tr><td> <p><bold>Value</bold></p> </td><td> <p><bold>Frequency</bold></p> </td><td> <p><bold>Valid Percent</bold></p> </td><td> <p><bold>Cumulative Percent</bold></p> </td></tr><tr><td> <p>Laptop</p> </td><td> <p>46</p> </td><td> <p>9.2</p> </td><td> <p>9.2</p> </td></tr><tr><td> <p>PC</p> </td><td> <p>19</p> </td><td> <p>3.8</p> </td><td> <p>13</p> </td></tr><tr><td> <p>Mobile
  Phone</p> </td><td> <p>436</p> </td><td> <p>87</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p><italic>N=501</italic></p> <p><break/></p> <p>Table 3 includes data with respect to the
gadgets used for going online by the respondents of different universities of
Peshawar. It reveals that 87% of respondents use mobile phones followed by 9.2%
laptops and 3.8% PCs users.</p> <p><break/></p>  <table-wrap id="table4"><label>Table
4</label><caption><title>Log in Pattern; Real/Fake identity</title></caption><table><tbody><tr><td> <p><bold>Value</bold></p> </td><td> <p><bold>Frequency</bold></p> </td><td> <p><bold>Valid Percent</bold></p> </td><td> <p><bold>Cumulative Percent</bold></p> </td></tr><tr><td> <p>Real</p> </td><td> <p>433</p> </td><td> <p>86.4</p> </td><td> <p>86.4</p> </td></tr><tr><td> <p>Fake</p> </td><td> <p>68</p> </td><td> <p>13.6</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p>N=501</p>  <p><break/></p> <p>Data in table 4 reveals
that 86.4% of respondents login to Twitter with real identities while 13.6% of
respondents login to social networking site with fake identities.</p> <p><bold><break/> </bold></p>  <table-wrap id="table5"><label>Table
5</label><caption><title>Frequency of Twitter use</title></caption><table><tbody><tr><td> <p><bold>Value</bold></p> </td><td> <p><bold>Frequency</bold></p> </td><td> <p><bold>Valid Percent</bold></p> </td><td> <p><bold>Cumulative Percent</bold></p> </td></tr><tr><td> <p>Once
  a day</p> </td><td> <p>63</p> </td><td> <p>12.6</p> </td><td> <p>12.6</p> </td></tr><tr><td> <p>Twice
  a day</p> </td><td> <p>52</p> </td><td> <p>10.4</p> </td><td> <p>23</p> </td></tr><tr><td> <p>3
  times a day</p> </td><td> <p>69</p> </td><td> <p>13.8</p> </td><td> <p>36.7</p> </td></tr><tr><td> <p>4
  times a day</p> </td><td> <p>48</p> </td><td> <p>9.6</p> </td><td> <p>46.3</p> </td></tr><tr><td> <p>More
  than 4 times a day</p> </td><td> <p>269</p> </td><td> <p>53.7</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p><italic>N=501</italic></p>  <p><break/></p> <p>According to results in the above table,
53.7% of respondents login to Twitter more than 4 times a day followed by
respondents 13.8% with 3 times, 12.6% once a day, 10.4% twice a day, and 9.6%
log in to twitter 4 times on a typical day.</p> <p><bold><break/> </bold></p>  <p><bold>Table 6. </bold>Time
spent on Twitter</p> <table-wrap id="table6"><label>Table 6</label><caption><title>Table 6</title></caption><table><tbody><tr><td> <p><bold>Value</bold></p> </td><td> <p><bold>Frequency</bold></p> </td><td> <p><bold>Valid Percent</bold></p> </td><td> <p><bold>Cumulative Percent</bold></p> </td></tr><tr><td> <p>0-1
  hr</p> </td><td> <p>46</p> </td><td> <p>9.2</p> </td><td> <p>9.2</p> </td></tr><tr><td> <p>1-2
  hrs</p> </td><td> <p>85</p> </td><td> <p>17</p> </td><td> <p>26.1</p> </td></tr><tr><td> <p>2-3
  hrs</p> </td><td> <p>106</p> </td><td> <p>21.2</p> </td><td> <p>47.3</p> </td></tr><tr><td> <p>3-4
  hrs</p> </td><td> <p>99</p> </td><td> <p>19.8</p> </td><td> <p>67.1</p> </td></tr><tr><td> <p>More
  than 4 hrs</p> </td><td> <p>165</p> </td><td> <p>32.9</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p><italic>N=501</italic></p>  <p><break/></p> <p>The data in table 6 shows that 32.9 %
(N=165) respondents spend more than 4 hours using twitter daily followed
by  2-3 hours (21.2%) , 3-4 hours
(19.8%), 1-2 hours (17%) (N=85) and 0-1 hour (9.2%).</p> <p><bold><break/> </bold></p>  <p><bold>Table 7.
</bold>Twitter
Helps Affect Voters&apos; TurnOut</p> <table-wrap id="table7"><label>Table 7</label><caption><title>Table 7</title></caption><table><thead><tr><th> <p><bold>Value</bold></p> </th><th> <p><bold>Frequency</bold></p> </th><th> <p><bold>Valid Percent</bold></p> </th><th> <p><bold>Cumulative Percent</bold></p> </th></tr></thead><tbody><tr><td> <p>Strongly Disagree</p> </td><td> <p>62</p> </td><td> <p>12.4</p> </td><td> <p>12.4</p> </td></tr><tr><td> <p>Disagree</p> </td><td> <p>69</p> </td><td> <p>13.8</p> </td><td> <p>26.1</p> </td></tr><tr><td> <p>Neutral</p> </td><td> <p>152</p> </td><td> <p>30.3</p> </td><td> <p>56.5</p> </td></tr><tr><td> <p>Agree</p> </td><td> <p>140</p> </td><td> <p>27.9</p> </td><td> <p>84.4</p> </td></tr><tr><td> <p>Strongly Agree</p> </td><td> <p>78</p> </td><td> <p>15.6</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p><italic>N=5.01</italic></p> <p><break/></p> <p>As per data in the ensuing table, almost 44%
of respondents showed their agreement whereas, around 26% disagreed with the
asking- the use of Twitter helps affect
voters&apos; turnout. However, 30.3% remained neutral in response to the same
statement (see table # 7).</p> <p><bold><break/> </bold></p>  <p><bold>Table
8. </bold>Twitter
Brings Political Parties Closer to Voters</p> <table-wrap id="table8"><label>Table 8</label><caption><title>Table 8</title></caption><table><tbody><tr><td> <p><bold>Value</bold></p> </td><td> <p><bold>Frequency</bold></p> </td><td> <p><bold>Valid Percent</bold></p> </td><td> <p><bold>Cumulative Percent</bold></p> </td></tr><tr><td> <p>Strongly Disagree</p> </td><td> <p>33</p> </td><td> <p>6.6</p> </td><td> <p>6.6</p> </td></tr><tr><td> <p>Disagree</p> </td><td> <p>56</p> </td><td> <p>11.2</p> </td><td> <p>17.8</p> </td></tr><tr><td> <p>Neutral</p> </td><td> <p>125</p> </td><td> <p>25</p> </td><td> <p>42.7</p> </td></tr><tr><td> <p>Agree</p> </td><td> <p>181</p> </td><td> <p>36.1</p> </td><td> <p>78.8</p> </td></tr><tr><td> <p>Strongly Agree</p> </td><td> <p>106</p> </td><td> <p>21.2</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p><italic>N=501</italic></p>  <p><break/></p> <p>According to data in the
above table, around 57% students agreed to the statement - the use of Twitter brings political parties
and politicians closer to voterswhereas<bold>, </bold>almost 18% of
respondents showed their disagreement with the same asking (see table # 8).</p> <p><bold><break/> </bold></p>  <p><bold>Table
9. </bold>Twitter
Convinces People in Joining Political Demonstrations</p> <table-wrap id="table9"><label>Table 9</label><caption><title>Table 9</title></caption><table><tbody><tr><td> <p><bold>Value</bold></p> </td><td> <p><bold>Frequency</bold></p> </td><td> <p><bold>Valid Percent</bold></p> </td><td> <p><bold>Cumulative Percent</bold></p> </td></tr><tr><td> <p>Strongly
  Disagree</p> </td><td> <p>37</p> </td><td> <p>7.4</p> </td><td> <p>7.4</p> </td></tr><tr><td> <p>Disagree</p> </td><td> <p>54</p> </td><td> <p>10.8</p> </td><td> <p>18.2</p> </td></tr><tr><td> <p>Neutral</p> </td><td> <p>163</p> </td><td> <p>32.5</p> </td><td> <p>50.7</p> </td></tr><tr><td> <p>Agree</p> </td><td> <p>169</p> </td><td> <p>33.7</p> </td><td> <p>84.4</p> </td></tr><tr><td> <p>Strongly
  Agree</p> </td><td> <p>78</p> </td><td> <p>15.6</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p><italic>N=501</italic></p>  <p><break/></p> <p>As per data in table # 9, around 50% of
respondents showed their agreement whereas, 18% disagreed to the statement - Twitter convinces people in joining political
demonstrations. However, 32.5%
remained neutral in response to the same asking.</p> <p><bold><break/> </bold></p>  <p><bold>Table
10. </bold>Twitter
Use in Political Parties’ Election Campaign</p> <table-wrap id="table10"><label>Table 10</label><caption><title>Table 10</title></caption><table><thead><tr><th> <p><bold>Value</bold></p> </th><th> <p><bold>Frequency</bold></p> </th><th> <p><bold>Valid Percent</bold></p> </th><th> <p><bold>Cumulative Percent</bold></p> </th></tr></thead><tbody><tr><td> <p>Strongly
  Disagree</p> </td><td> <p>43</p> </td><td> <p>8.6</p> </td><td> <p>8.6</p> </td></tr><tr><td> <p>Disagree</p> </td><td> <p>59</p> </td><td> <p>11.8</p> </td><td> <p>20.4</p> </td></tr><tr><td> <p>Neutral</p> </td><td> <p>136</p> </td><td> <p>27.1</p> </td><td> <p>47.5</p> </td></tr><tr><td> <p>Agree</p> </td><td> <p>146</p> </td><td> <p>29.1</p> </td><td> <p>76.6</p> </td></tr><tr><td> <p>Strongly
  Agree</p> </td><td> <p>117</p> </td><td> <p>23.4</p> </td><td> <p>100</p> </td></tr></tbody></table></table-wrap> <p><italic>N=501</italic></p>  <p><break/></p><p>According
to the results of table 10, more than 50% of respondents agreed with the
statement regarding Twitter use in
political parties&apos; election campaigns whereas, just over 20% disagreed
with the same statement. However, 27%
remained neutral in response to the same asking.</p>
</sec>
</body>
<back>
<fn-group content-type="conflict-of-interest">
  <title>Conflict of Interest</title>
  <fn fn-type="conflict">
<p>The authors declare that they have no conflicts of interest.</p>
  </fn>
</fn-group>
<fn-group content-type="ethics-statement">
  <title>Ethics Statement</title>
  <fn fn-type="ethics">
<p>This study did not require formal ethics approval.</p>
  </fn>
</fn-group>
<fn-group content-type="data-availability">
  <title>Data Availability</title>
  <fn fn-type="data-availability-statement">
<p>Data sharing is not applicable to this article.</p>
  </fn>
</fn-group>
<app-group>
  <app id="app-suppl">
    <title>Supplementary Materials</title>
<supplementary-material id="suppl-pdf" content-type="pdf" xlink:href="https://gdpmrjournal.com/pdf/gdpmr/6opYACfjfj.pdf">
  <label>PDF</label>
  <caption>
    <title>Full Text PDF</title>
  </caption>
</supplementary-material>
  </app>
</app-group>
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