Perspective Analysis for Online Debates
Internet and social media devices created a new public space for online debate on political and social topics. A debate is defined as a formal discussion on a set of related topics in a public meeting, in which opposing perspectives and arguments are put forward. In this paper, we develop automated...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 905 |
|---|---|
| container_issue | |
| container_start_page | 898 |
| container_title | |
| container_volume | |
| creator | Tikves, S. Gokalp, S. Temkit, M. Banerjee, S. Jieping Ye Davulcu, H. |
| description | Internet and social media devices created a new public space for online debate on political and social topics. A debate is defined as a formal discussion on a set of related topics in a public meeting, in which opposing perspectives and arguments are put forward. In this paper, we develop automated perspective discovery techniques which would contribute to the understanding of features (i.e. social, political, cultural, religious beliefs, goals, and practices) shared by each side of the debate. Secondly, we show that, compared to a semi-automated process, our perspective discovery algorithms not only identify larger number of relevant features, but they also yield a higher accuracy scaling of moderate to extreme organizations on both sides of a debate. |
| doi_str_mv | 10.1109/ASONAM.2012.161 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6425645</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6425645</ieee_id><sourcerecordid>6425645</sourcerecordid><originalsourceid>FETCH-LOGICAL-i216t-5cf02105d4fc6e26b23425dce19fcbfe68663a40bee5cb8d572c218c6cc04a033</originalsourceid><addsrcrecordid>eNotzDtLxEAUQOEREdQ1tYVNOqvEe-dxJ1OG9QmrEdR6mUzuwEiMSyYI--9d0OJwuk-IS4QaEdxN-9a9tM-1BJQ1Eh6Jc7DkjLbOwbEonG1Qk1VSO2tPRZHzJwAgKHPoTFy_8px3HJb0w2U7-XGfUy7j91x205gmLm-59wvnC3ES_Zi5-P9KfNzfva8fq0338LRuN1WSSEtlQgSJYAYdA7GkXiotzRAYXQx9ZGqIlNfQM5vQN4OxMkhsAoUA2oNSK3H15yZm3u7m9OXn_ZYOCGmjfgFuLkEh</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Perspective Analysis for Online Debates</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Tikves, S. ; Gokalp, S. ; Temkit, M. ; Banerjee, S. ; Jieping Ye ; Davulcu, H.</creator><creatorcontrib>Tikves, S. ; Gokalp, S. ; Temkit, M. ; Banerjee, S. ; Jieping Ye ; Davulcu, H.</creatorcontrib><description>Internet and social media devices created a new public space for online debate on political and social topics. A debate is defined as a formal discussion on a set of related topics in a public meeting, in which opposing perspectives and arguments are put forward. In this paper, we develop automated perspective discovery techniques which would contribute to the understanding of features (i.e. social, political, cultural, religious beliefs, goals, and practices) shared by each side of the debate. Secondly, we show that, compared to a semi-automated process, our perspective discovery algorithms not only identify larger number of relevant features, but they also yield a higher accuracy scaling of moderate to extreme organizations on both sides of a debate.</description><identifier>ISBN: 9781467324977</identifier><identifier>ISBN: 1467324973</identifier><identifier>EISBN: 0769547990</identifier><identifier>EISBN: 9780769547992</identifier><identifier>DOI: 10.1109/ASONAM.2012.161</identifier><identifier>CODEN: IEEPAD</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; Education ; Feature extraction ; Organizations ; Standards organizations ; Web sites</subject><ispartof>2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012, p.898-905</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6425645$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6425645$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tikves, S.</creatorcontrib><creatorcontrib>Gokalp, S.</creatorcontrib><creatorcontrib>Temkit, M.</creatorcontrib><creatorcontrib>Banerjee, S.</creatorcontrib><creatorcontrib>Jieping Ye</creatorcontrib><creatorcontrib>Davulcu, H.</creatorcontrib><title>Perspective Analysis for Online Debates</title><title>2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining</title><addtitle>asonam</addtitle><description>Internet and social media devices created a new public space for online debate on political and social topics. A debate is defined as a formal discussion on a set of related topics in a public meeting, in which opposing perspectives and arguments are put forward. In this paper, we develop automated perspective discovery techniques which would contribute to the understanding of features (i.e. social, political, cultural, religious beliefs, goals, and practices) shared by each side of the debate. Secondly, we show that, compared to a semi-automated process, our perspective discovery algorithms not only identify larger number of relevant features, but they also yield a higher accuracy scaling of moderate to extreme organizations on both sides of a debate.</description><subject>Analytical models</subject><subject>Education</subject><subject>Feature extraction</subject><subject>Organizations</subject><subject>Standards organizations</subject><subject>Web sites</subject><isbn>9781467324977</isbn><isbn>1467324973</isbn><isbn>0769547990</isbn><isbn>9780769547992</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotzDtLxEAUQOEREdQ1tYVNOqvEe-dxJ1OG9QmrEdR6mUzuwEiMSyYI--9d0OJwuk-IS4QaEdxN-9a9tM-1BJQ1Eh6Jc7DkjLbOwbEonG1Qk1VSO2tPRZHzJwAgKHPoTFy_8px3HJb0w2U7-XGfUy7j91x205gmLm-59wvnC3ES_Zi5-P9KfNzfva8fq0338LRuN1WSSEtlQgSJYAYdA7GkXiotzRAYXQx9ZGqIlNfQM5vQN4OxMkhsAoUA2oNSK3H15yZm3u7m9OXn_ZYOCGmjfgFuLkEh</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Tikves, S.</creator><creator>Gokalp, S.</creator><creator>Temkit, M.</creator><creator>Banerjee, S.</creator><creator>Jieping Ye</creator><creator>Davulcu, H.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>Perspective Analysis for Online Debates</title><author>Tikves, S. ; Gokalp, S. ; Temkit, M. ; Banerjee, S. ; Jieping Ye ; Davulcu, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i216t-5cf02105d4fc6e26b23425dce19fcbfe68663a40bee5cb8d572c218c6cc04a033</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Analytical models</topic><topic>Education</topic><topic>Feature extraction</topic><topic>Organizations</topic><topic>Standards organizations</topic><topic>Web sites</topic><toplevel>online_resources</toplevel><creatorcontrib>Tikves, S.</creatorcontrib><creatorcontrib>Gokalp, S.</creatorcontrib><creatorcontrib>Temkit, M.</creatorcontrib><creatorcontrib>Banerjee, S.</creatorcontrib><creatorcontrib>Jieping Ye</creatorcontrib><creatorcontrib>Davulcu, H.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tikves, S.</au><au>Gokalp, S.</au><au>Temkit, M.</au><au>Banerjee, S.</au><au>Jieping Ye</au><au>Davulcu, H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Perspective Analysis for Online Debates</atitle><btitle>2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining</btitle><stitle>asonam</stitle><date>2012-08</date><risdate>2012</risdate><spage>898</spage><epage>905</epage><pages>898-905</pages><isbn>9781467324977</isbn><isbn>1467324973</isbn><eisbn>0769547990</eisbn><eisbn>9780769547992</eisbn><coden>IEEPAD</coden><abstract>Internet and social media devices created a new public space for online debate on political and social topics. A debate is defined as a formal discussion on a set of related topics in a public meeting, in which opposing perspectives and arguments are put forward. In this paper, we develop automated perspective discovery techniques which would contribute to the understanding of features (i.e. social, political, cultural, religious beliefs, goals, and practices) shared by each side of the debate. Secondly, we show that, compared to a semi-automated process, our perspective discovery algorithms not only identify larger number of relevant features, but they also yield a higher accuracy scaling of moderate to extreme organizations on both sides of a debate.</abstract><pub>IEEE</pub><doi>10.1109/ASONAM.2012.161</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9781467324977 |
| ispartof | 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012, p.898-905 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_6425645 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Analytical models Education Feature extraction Organizations Standards organizations Web sites |
| title | Perspective Analysis for Online Debates |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T02%3A55%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Perspective%20Analysis%20for%20Online%20Debates&rft.btitle=2012%20IEEE/ACM%20International%20Conference%20on%20Advances%20in%20Social%20Networks%20Analysis%20and%20Mining&rft.au=Tikves,%20S.&rft.date=2012-08&rft.spage=898&rft.epage=905&rft.pages=898-905&rft.isbn=9781467324977&rft.isbn_list=1467324973&rft.coden=IEEPAD&rft_id=info:doi/10.1109/ASONAM.2012.161&rft_dat=%3Cieee_6IE%3E6425645%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=0769547990&rft.eisbn_list=9780769547992&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6425645&rfr_iscdi=true |