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    <journal-meta>
      <journal-title-group>
        <journal-title>MSM</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Programme Committee</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Harith Alani KMi</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>The Open University</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>UK Sofia Angeletou KMi</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>The Open University</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>UK Uldis Bojars University of Latvia</string-name>
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          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>UK Óscar Corcho Universidad Politécnica de Madrid</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Spain Guillaume Ereteo INRIA</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>France Fabien Gandon INRIA</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Spain Jon Hickman Birmingham City University</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>UK Robert Jäschke University of Kassel</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>UK Jelena Jovanovic University of Belgrade</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Serbia Philipe Laublet Université Paris-Sorbonne</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>France Pablo Mendes Kno.e.sis</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Wright State University</string-name>
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          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Galway</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Ireland Danica Radovanovic University of Belgrade</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Serbia Yves Raimond BBC</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>UK Harald Sack University of Potsdam</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Germany Bernhard Schandl University of Vienna</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Austria Elena Simperl University of Innsbruck</string-name>
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        </contrib>
        <contrib contrib-type="author">
          <string-name>Austria Raphaël Troncy Eurecom</string-name>
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          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>France Mischa Tuffield Garlik</string-name>
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          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>UK Victoria Uren The University of Sheffield</string-name>
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          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>UK Claudia Wagner Joanneum Research</string-name>
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          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Austria Shenghui Wang Vrije University</string-name>
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          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Alexandre Monnin IRI, Centre Pompidou, Paris, France Danica Radovanovic University of Belgrade</institution>
          ,
          <country country="RS">Serbia</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>MSM2011 Organising Committee</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Matthew Rowe KMi, The Open University, UK Milan Stankovic Hypios / Université Paris-Sorbonne, France Aba-Sah Dadzie The University of Sheffield, UK Mariann Hardey The University of Durham</institution>
          ,
          <country country="UK">UK</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2011</year>
      </pub-date>
      <volume>1</volume>
      <abstract>
        <p>Posting information about on-going events on Twitter and Facebook; checking into and contributing new information about Points of Interest on Foursquare; updating one's status on a variety of social networking sites, using a variety of devices, while stationary or on the move, are now so commonplace that such platforms are often the first point of call for searching for and sharing information covering a wide range of events, topics and personal or work-related interests. As a result, enormous quantities of small user input are being piped into the data streams of the Web, leading to a rate of growth which has never before been witnessed. We refer to such small user inputs as Microposts. The #MSM2011 workshop discussed emerging to fairly advanced work on the research this has engendered. Micropost data, which spans disparate, heterogeneous topics, therefore requires new techniques for information extraction and the leveraging of semantics from Microposts, to glean the knowledge contained, and new tools that make optimal use of the semantics encoded in Microposts'. The discussions also looked at studies related to Microposts, both social and from a more technically oriented perspective, that should contribute to building appealing new systems based on this type of data.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Introduction to the Proceedings
Out of a total of 19 paper submissions, 7 full and 2 short papers were accepted,
around which two main discussions were held. This was in addition to a poster
and demo session, to exhibit practical application in the field, and foster further
discussion of the ways in which data extracted from Microposts is being reused.
The accepted submissions cover an array of topics; we highlight these here.</p>
    </sec>
    <sec id="sec-2">
      <title>Information Diffusion and Influence</title>
      <p>Three submissions to the workshop addressed the topics of Information
Diffusion and Influence within Microposts. Weller et al.’s paper, ‘Citation Analysis
in Twitter: Approaches for Defining and Measuring Information Flows within
Tweets during Scientific Conferences ’, analysed the flow of information through
tweets at scientific conferences, by assessing the diffusion of URLs and retweets.
‘Making Sense of Location Based Micro-posts Using Stream Reasoning ’ by Celino
et al. proposes a framework to identify so-called mavens – experts on a given
POI – utilising stream reasoning to handle the deluge of Microposts and enable
effective identification. A demo by Huron et al., titled ‘Polemical Video
Annotation by Twitter ’, models arguments and discussions between users on Twitter
during video broadcasts. The application enables contentious points in videos to
be identified, and leads to further information exchange and debate.</p>
    </sec>
    <sec id="sec-3">
      <title>Entity Extraction and Semantics</title>
      <p>Microposts often refer to entities within their content; identifying such entities
enables effective tracking of mentions and consensus concerning opinion.
However, the limited length of Microposts makes detecting and extracting such
references challenging. ‘Extracting Semantic Entities and Events from Sports Tweets ’
by Choudhury and Breslin presents an approach to this problem in the form of
named entity recognition from sports tweets, testing various features for the
detection task – i.e. linguistic features, statistical analysis and domain knowledge.
Entity extraction is utilised in ‘Follow me: Capturing Entity-Based Semantics
Emerging from Personal Awareness Streams ’ by Cano et al., to first detect
entities in users’ personal awareness streams – derived from status updates coupled
with the context of the user – before using such entities to suggest concepts that
correlate with the context of the user.</p>
      <p>The interestingly titled ‘Does Size Matter? When Small is Good Enough ’ by
Gentile et al. presents the novel experiment of truncating emails from Micropost
size (i.e. 140 characters) up to the full size of each email in a given corpus, and
then performing text classification over the truncated emails. Results are
compared with the classification using the full emails, showing that truncated emails
provide a sufficient summarisation for accurate classification. In ‘Discovering the
Dynamics of Terms’ Semantic Relatedness through Twitter ’, by Milikic et al., the
semantic relatedness of terms in Microposts is assessed. Their approach measures
the dynamic aspect of semantic relatedness over time under the hypothesis that
the relation between terms is incorrectly assumed to be static.</p>
    </sec>
    <sec id="sec-4">
      <title>Politics and Sentiment</title>
      <p>Microposts enable opinion to be expressed to a global audience with relative
ease. As a result, platforms that provide functionality to publish Microposts are
often central to emotive discussions, such as political uprisings. The workshop
accepted three papers that explore work in this area. Skilters et al.’s paper, ‘The
Pragmatics of Political Messages in Twitter Communication ’, assesses political
messages on Twitter; their analysis reveals a link between retweet popularity and
offline political consensus. ‘Automatic Detection of Political Opinions in Tweets ’
by Maynard and Funk presents an approach to political opinion detection and
analysis in tweets. The authors conjecture that a middle ground is required
between sophisticated NLP techniques that function over rich review corpora
and more naïve, simplistic, weighted lexicon-based approaches. They present
work that attempts to fills this gap and evaluate their work over a large corpus
of political tweets from the 2010 UK General Election.</p>
      <p>To gauge sentiment in tweets, Nielsen’s paper, ‘A New ANEW: Evaluation
of a Word List for Sentiment Analysis in Microblogs ’, proposes a new sentiment
word list. Detection of sentiment in tweets normally utilises a weighted
semantic lexicon, looking up individual terms and returning their valence. Existing
lexicons are available for this task, therefore Nielsen presents his new word list
and compares its performance in sentiment detection against, among others, the
ANEW semantic lexicon. Results show comparable performance.</p>
      <sec id="sec-4-1">
        <title>Workshop Awards</title>
        <p>Two awards were made, sponsored by the EU FP7 WeGov project1. Best paper
nominations were sought from the reviewers, and a final decision agreed by
the Chairs, based on the nominations and review scores. The best poster/demo
award was based on nominations by participants during the workshop.</p>
      </sec>
      <sec id="sec-4-2">
        <title>Additional Material</title>
        <p>The call for participation and all paper, poster and demo abstracts are
available on the #MSM2011 website2. The full proceedings are also available on the
CEUR-WS server, at: http://ceur-ws.org/Vol-718.
1 http://www.wegov-project.eu
2 http://research.hypios.com/msm2011</p>
      </sec>
      <sec id="sec-4-3">
        <title>Multidisciplinary Steering Committee</title>
      </sec>
    </sec>
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