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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>URL: https://doaj.org</journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2356-2048</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.12685/027.7-4-2-157</article-id>
      <title-group>
        <article-title>Comprehensive contextual visualization of a news archive for aiding story planning</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Ishrat Rahman Sami</string-name>
          <email>isami001@gold.ac.uk</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Dr Tony Russell-Rose</string-name>
          <email>t.russell-rose@gold.ac.uk</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Larisa Soldatova</string-name>
          <email>l.soldatova@gold.ac.uk</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Workshop</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>Natural Language Processing, Visualization, Story Planning, News Writing</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>(Prof. L. Soldatova)</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Goldsmiths, University of London</institution>
          ,
          <addr-line>New Cross, London, SE14 6NW</addr-line>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2010</year>
      </pub-date>
      <volume>3</volume>
      <issue>1</issue>
      <fpage>98</fpage>
      <lpage>103</lpage>
      <abstract>
        <p>Writing is a complex mental process of generating ideas and organizing the flow of information to convey the intended message to the appropriate audience for educating, enriching or entertaining. Strategic story planning in the pre-writing phase can enrich the quality of writing. The facts of news are encapsulated in ifve basic questions ”Who”, ”Where”, ”What”, ”When” and ”Why” which are fundamental for any readers' understanding. Focusing on these 5Ws, this paper demonstrates visualizations designed to provide cognitive guidance for planning editorial news stories that require comprehensive analysis using a news archive. The visualizations are contextual: global (considering the whole archive), relative (considering topic-based news collection) and local (considering single news). Global context visualizations are designed to aid the identification of a historically important or a decaying topic of interest that can be beneficial to review/compare against raising new topics in the current time. On selecting a topic, a relative context Terms Board is produced to aid brainstorming in the pre-writing phase. During reviewing related documents presented via Terms Board, Local Context visualization is presented to aid in recalling strategic terms' emphasis in the selected news.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        The journey of news is as old as human civilization [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. Newsgathering and writing are the
core fundamentals of journalism [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], and news writing falls under the genre of storytelling [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
The story planning of the news material before writing aids speed, accuracy and influence via
controlled information flow [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. To win readers’ attention, a journalist must expose the “Who”,
”Where”, ”What”, “When” and “Why” of a news story consciously [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. Missing any of these 5Ws
is referred to as “holes” in journalism [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. Considering the importance of these questions during
story planning before writing, the main contributions of this article are interactive contextual
visualizations for
•
•
      </p>
      <p>Global context: Archive-based time-bound visualization to identify important story
topics for editorial recall.</p>
      <p>Relative context: Topic collection based Terms Board visualization for brainstorming.
• Local context: Single news based story plan visualization to demonstrate important
terms’ emphasis.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Related Work</title>
      <p>
        Writing can be perceived as a complex mental process that involves four stages: planning,
drafting, revising and editing [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. Strategic story planning is the thinking process that leads to
better writing [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. Knowledge visualization can be used to augment cognition and facilitate
thinking by helping to build a rich mental model [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. Various comprehensive topic-based
and cluster-based visualization works have been performed for text analysis. For example,
Open Knowledge Maps (OKM) is a bubble chart based visual interface for discovering scientific
knowledge from PubMed [8]. In another study, Latent Dirichlet Allocation (LDA) based topic
modelling was used to identify hotspot topics using bubble charts and chord diagram [9].
Uniform Manifold Approximation and Projection (UMAP) [10] and directed graphs were used
to visualize topics filtered by patterns and analyzed by LDA in a study by Ordun et al. [ 11].
Topic evolution can be represented with WordStream using word cloud and a stream graph
[12]. Tools like VISTopic use Sunburst diagrams to represent topics and ThemeRiver timeline to
demonstrate topic strength [13]. A study by Bras et al. introduced a theme-based visualisation
based on a hierarchical topic model backed by LDA [14]. TextWheel visualization that consists
of one or multiple keyword wheels, a document transportation belt, and a dynamic system that
connects the wheels and belt is introduced in a study [15]. For news, the journalist ensures
the presence of “Who, Where, What, When and Why” answers of the news in the document
to address the facts [16, 17]. In this paper, we demonstrate writing-focused comprehensive
interactive visualizations for story planning.
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Contextual visualization</title>
      <p>In this paper, we are presenting an interactive contextual visualization tool (as a demo), “Story
Analysis” which is built on a collection of 730 news published by “The Pharmaletter” between
March 2021 and May 2021. Global context visualizations are designed to aid the identification
of a historically important or a decaying topic of interest that can be beneficial to throwback
against raising new topics in the current time. It is a monthly visualization of the whole
collection. On selecting a topic, a relative context Terms Board is produced to aid brainstorming
in the pre-writing phase for intuiting creative thoughts. During reviewing related documents
presented via Terms Board, Local Context visualization is presented to aid a better strategic
understanding of the most important terms’ emphasis in the selected news.</p>
      <sec id="sec-3-1">
        <title>3.1. Global Context Visualization</title>
        <p>The interactive Global Context visualization represents “When” (time-bound) based frequency
analytics for a sample news archive to guide “Why” (motivation to write) and to identify “What”
(most frequent topics), “Who” (most frequent characters/organizations) and “Where” (most
frequent locations) for planning a story. Figure 1 shows a monthly Global Context visualization.
Figure 1: Global Context Visualization (https://storyanalysis.co.uk/demo/index.html).</p>
        <p>This visualization can work to guide identifying historical important events that require editorial
recall through comprehensive writing. Hovering on topics reveals frequency bars of the topic in
a timeline. Clicking on the topic produces respective topic-based Relative Context Terms Board
visualization to aid story planning on that topic (see the next section). During data analysis,
for each news most important terms are selected as topics based on the algorithm proposed by
Sami and Farrahi (2017) [18]. Frequency analysis was performed on the extracted topics of all
documents. The most important top topics are categorically presented in these visualizations.</p>
      </sec>
      <sec id="sec-3-2">
        <title>3.2. Relative Context Visualization</title>
        <p>
          Relative Context is formed by using the news collection of a specific topic in a considered
time period. In our interactive demo, when a user selects a topic of interest for writing, a
comprehensive Terms Board visualization of the topic collection is presented as an aid for story
planning. Figure 2 demonstrates a sample Terms Board. Brainstorming, clustering, outlining
and drafting can improve writing quality in the pre-writing phase[
          <xref ref-type="bibr" rid="ref6">6</xref>
          ]. The use of a storyboard
improves engagement and expressing ability [19]. It enhances storytelling power, enforces
writing discipline and sharpens the narrative [20], reveals gaps in continuity, improves the
(a) Who/Where/What/Why mapping in content and When from date. (b) Clockwise terms visualization
.
        </p>
        <p>Figure 3: Local Context Visualization of a news
(https://storyanalysis.co.uk/demo/lc.html?condition=vizkey=mood-music-improves-for-type-1-diabetes-candidate)
quality of text organization and increases readability [20].</p>
        <p>Inspired by the concept of a storyboard, Terms Board displays terms as a palette of thoughts
to guide an individual to create a fact-driven story plan. For building a Terms Board, frequency
analysis is performed on the terms/topics of the news collection and the most frequent top
terms of each question category are selected for display. The terms are categorized into six
story planning aspects: Who (person/organization), Where (location), What (related topics
represented by nouns), What (actions represented by verbs), Why (positive sentiment words) and
Why (negative sentiment words). Each story planning aspect forms a card in Terms Board. Each
card groups topics based on historical importance based on a timeline. A card is further separated
into three timeline-based aspects represented by circles based on the cumulative historical
weight in a timeline. If a term appears early in the given date range, it gets a higher weight.
The dark grey circle represents historically weighted terms, the light grey circle represents
recently important terms and the turquoise colour circle represents consistent terms that are
important both historically and recently. Terms Board is an interactive visualization. Clicking
on the circles reveals related news.</p>
      </sec>
      <sec id="sec-3-3">
        <title>3.3. Local Context Visualization</title>
        <p>
          To gain readers’ attention from the beginning to end, the news agencies generally adopt an
inverted pyramid structure where a story starts with stating the most important material [
          <xref ref-type="bibr" rid="ref5">5</xref>
          ].
Likewise, “Aristotle’s Rhetoric” has guided writers to create efective communication using
“Ethos”, “Logos” and “Pathos” [21, 22]. Ethos is the art of establishing authority on a topic,
logos is building logical argumentation and pathos is stating an opinion. For influential writing,
authors use various structural story planning templates, e.g. Joseph Campbell’s “The Hero’s
Journey” [23]. For news, the journalist ensures the presence of “Who, Where, What, When and
Why” answers in the chronology of the news story [
          <xref ref-type="bibr" rid="ref5">16, 17, 5</xref>
          ]. In our demo, we experimentally
mapped “Aristotle’s Rhetoric” and inverted pyramids structure chronologically in a clockwise
manner into the format of “The Hero’s Journey” for news as shown in Figure 3(a). To establish
“Ethos”, news must answer ”What”, ”Where”, ”Who” and ”When” related to the story early in
the document. For establishing “Logos”, news must provide evidence for “Why” and “How”. For
enriching/educating the reader, an editorial conclusion attempts to establish “Pathos” at the end.
In order to evaluate our assumptions, we carried out an experiment based on readers’ experience
during cognitive reading tasks in November - December 2021. We are still reviewing the results.
To identify chronologically important terms of news we used the algorithm proposed by Sami
and Farrahi (2017) [18]. We represented the terms in a clockwise manner to preserve relative
positions, the bar represents the importance of the terms calculated by the algorithm and the
colour represents various types (noun, verb, positive sentiment, negative) of the terms as show
in 3(b).
        </p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Conclusion</title>
      <p>“Story Analysis” is a tool to aid story planning for influential writing. The main contributions of
this work are writing-focused interactive visualizations. Linking analytics with the interaction of
the comprehensive visualization has the potential to guide our understanding of story planning
and can lead to better automation of creative writing. Therefore, we are currently working on
evaluating this approach via cognitive reading and writing experiment tasks.</p>
    </sec>
    <sec id="sec-5">
      <title>Acknowledgments</title>
      <p>We would like to thank ”The Pharmaletter” for providing their news achieve for producing the
demo site and ”Byte9” for sponsoring this research work.</p>
    </sec>
  </body>
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