Loading…
Best practices for online marketing in Twitter: An experimental study
In this paper, we develop a guideline for advertisers to make the best marketing practices by visualizing and studying the evolution of popular Twitter hashtags. We monitor specific quantitative attributes like the numbers of initiators and commentators. This information allows us to identify the pa...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 0509 |
container_issue | |
container_start_page | 0504 |
container_title | |
container_volume | |
creator | Gongxun Liu Amini, M. Hadi Boroojeni, Kianoosh G. Nejadpak, A. Iyengar, S. S. |
description | In this paper, we develop a guideline for advertisers to make the best marketing practices by visualizing and studying the evolution of popular Twitter hashtags. We monitor specific quantitative attributes like the numbers of initiators and commentators. This information allows us to identify the patterns for best practices. This practices are not noticeable to advertisers who aim to utilize Twitter to do online marketing. The result of the study indicates four patterns for successful hashtags, as well as findings about the use of commercial hashtags. Practical implications of these findings are discussed, as well as suggestions for future research. |
doi_str_mv | 10.1109/EIT.2016.7535292 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>proquest_CHZPO</sourceid><recordid>TN_cdi_proquest_miscellaneous_1835603856</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7535292</ieee_id><sourcerecordid>1835603856</sourcerecordid><originalsourceid>FETCH-LOGICAL-i208t-ff06ccf858f8642296073bbafd869db261bcfa50092cc3289fa8348b25bcbc803</originalsourceid><addsrcrecordid>eNotkLFLAzEchaMgWGt3wSWjy9VfkksucaulaqHgUsHtSNJEotfcmaRo_3sP6vSW7z0-HkI3BOaEgLpfrbdzCkTMG844VfQMXZFaNEwpyd_P0YQSXlfAGnaJZjl_AsDYEorKCVo9ulzwkLQtwbqMfZ9wH7sQHd7r9OVKiB84RLz9CaW49IAXEbvfwaWwd7HoDudy2B2v0YXXXXaz_5yit6fVdvlSbV6f18vFpgoUZKm8B2Gtl1x6KWpKlYCGGaP9Tgq1M1QQY73mAIpay6hUXktWS0O5scZKYFN0d9odUv99GM3bfcjWdZ2Orj_klkjGBTDJxYjentDgnGuH0VenY_t_EPsDnthZcw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>1835603856</pqid></control><display><type>conference_proceeding</type><title>Best practices for online marketing in Twitter: An experimental study</title><source>IEEE Xplore All Conference Series</source><creator>Gongxun Liu ; Amini, M. Hadi ; Boroojeni, Kianoosh G. ; Nejadpak, A. ; Iyengar, S. S.</creator><creatorcontrib>Gongxun Liu ; Amini, M. Hadi ; Boroojeni, Kianoosh G. ; Nejadpak, A. ; Iyengar, S. S.</creatorcontrib><description>In this paper, we develop a guideline for advertisers to make the best marketing practices by visualizing and studying the evolution of popular Twitter hashtags. We monitor specific quantitative attributes like the numbers of initiators and commentators. This information allows us to identify the patterns for best practices. This practices are not noticeable to advertisers who aim to utilize Twitter to do online marketing. The result of the study indicates four patterns for successful hashtags, as well as findings about the use of commercial hashtags. Practical implications of these findings are discussed, as well as suggestions for future research.</description><identifier>EISSN: 2154-0373</identifier><identifier>EISBN: 146739985X</identifier><identifier>EISBN: 9781467399852</identifier><identifier>DOI: 10.1109/EIT.2016.7535292</identifier><language>eng</language><publisher>IEEE</publisher><subject>Best practice ; Conferences ; Electronics ; Evolution ; Explosives ; Focusing ; Guidelines ; Information technology ; Marketing ; Media ; Monitors ; Sorting ; Tagging ; Twitter ; Visualization</subject><ispartof>2016 IEEE International Conference on Electro Information Technology (EIT), 2016, p.0504-0509</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7535292$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,27924,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7535292$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gongxun Liu</creatorcontrib><creatorcontrib>Amini, M. Hadi</creatorcontrib><creatorcontrib>Boroojeni, Kianoosh G.</creatorcontrib><creatorcontrib>Nejadpak, A.</creatorcontrib><creatorcontrib>Iyengar, S. S.</creatorcontrib><title>Best practices for online marketing in Twitter: An experimental study</title><title>2016 IEEE International Conference on Electro Information Technology (EIT)</title><addtitle>EIT</addtitle><description>In this paper, we develop a guideline for advertisers to make the best marketing practices by visualizing and studying the evolution of popular Twitter hashtags. We monitor specific quantitative attributes like the numbers of initiators and commentators. This information allows us to identify the patterns for best practices. This practices are not noticeable to advertisers who aim to utilize Twitter to do online marketing. The result of the study indicates four patterns for successful hashtags, as well as findings about the use of commercial hashtags. Practical implications of these findings are discussed, as well as suggestions for future research.</description><subject>Best practice</subject><subject>Conferences</subject><subject>Electronics</subject><subject>Evolution</subject><subject>Explosives</subject><subject>Focusing</subject><subject>Guidelines</subject><subject>Information technology</subject><subject>Marketing</subject><subject>Media</subject><subject>Monitors</subject><subject>Sorting</subject><subject>Tagging</subject><subject>Twitter</subject><subject>Visualization</subject><issn>2154-0373</issn><isbn>146739985X</isbn><isbn>9781467399852</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2016</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkLFLAzEchaMgWGt3wSWjy9VfkksucaulaqHgUsHtSNJEotfcmaRo_3sP6vSW7z0-HkI3BOaEgLpfrbdzCkTMG844VfQMXZFaNEwpyd_P0YQSXlfAGnaJZjl_AsDYEorKCVo9ulzwkLQtwbqMfZ9wH7sQHd7r9OVKiB84RLz9CaW49IAXEbvfwaWwd7HoDudy2B2v0YXXXXaz_5yit6fVdvlSbV6f18vFpgoUZKm8B2Gtl1x6KWpKlYCGGaP9Tgq1M1QQY73mAIpay6hUXktWS0O5scZKYFN0d9odUv99GM3bfcjWdZ2Orj_klkjGBTDJxYjentDgnGuH0VenY_t_EPsDnthZcw</recordid><startdate>20160501</startdate><enddate>20160501</enddate><creator>Gongxun Liu</creator><creator>Amini, M. Hadi</creator><creator>Boroojeni, Kianoosh G.</creator><creator>Nejadpak, A.</creator><creator>Iyengar, S. S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20160501</creationdate><title>Best practices for online marketing in Twitter: An experimental study</title><author>Gongxun Liu ; Amini, M. Hadi ; Boroojeni, Kianoosh G. ; Nejadpak, A. ; Iyengar, S. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i208t-ff06ccf858f8642296073bbafd869db261bcfa50092cc3289fa8348b25bcbc803</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Best practice</topic><topic>Conferences</topic><topic>Electronics</topic><topic>Evolution</topic><topic>Explosives</topic><topic>Focusing</topic><topic>Guidelines</topic><topic>Information technology</topic><topic>Marketing</topic><topic>Media</topic><topic>Monitors</topic><topic>Sorting</topic><topic>Tagging</topic><topic>Twitter</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>Gongxun Liu</creatorcontrib><creatorcontrib>Amini, M. Hadi</creatorcontrib><creatorcontrib>Boroojeni, Kianoosh G.</creatorcontrib><creatorcontrib>Nejadpak, A.</creatorcontrib><creatorcontrib>Iyengar, S. S.</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</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gongxun Liu</au><au>Amini, M. Hadi</au><au>Boroojeni, Kianoosh G.</au><au>Nejadpak, A.</au><au>Iyengar, S. S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Best practices for online marketing in Twitter: An experimental study</atitle><btitle>2016 IEEE International Conference on Electro Information Technology (EIT)</btitle><stitle>EIT</stitle><date>2016-05-01</date><risdate>2016</risdate><spage>0504</spage><epage>0509</epage><pages>0504-0509</pages><eissn>2154-0373</eissn><eisbn>146739985X</eisbn><eisbn>9781467399852</eisbn><abstract>In this paper, we develop a guideline for advertisers to make the best marketing practices by visualizing and studying the evolution of popular Twitter hashtags. We monitor specific quantitative attributes like the numbers of initiators and commentators. This information allows us to identify the patterns for best practices. This practices are not noticeable to advertisers who aim to utilize Twitter to do online marketing. The result of the study indicates four patterns for successful hashtags, as well as findings about the use of commercial hashtags. Practical implications of these findings are discussed, as well as suggestions for future research.</abstract><pub>IEEE</pub><doi>10.1109/EIT.2016.7535292</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | EISSN: 2154-0373 |
ispartof | 2016 IEEE International Conference on Electro Information Technology (EIT), 2016, p.0504-0509 |
issn | 2154-0373 |
language | eng |
recordid | cdi_proquest_miscellaneous_1835603856 |
source | IEEE Xplore All Conference Series |
subjects | Best practice Conferences Electronics Evolution Explosives Focusing Guidelines Information technology Marketing Media Monitors Sorting Tagging Visualization |
title | Best practices for online marketing in Twitter: An experimental study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T02%3A09%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Best%20practices%20for%20online%20marketing%20in%20Twitter:%20An%20experimental%20study&rft.btitle=2016%20IEEE%20International%20Conference%20on%20Electro%20Information%20Technology%20(EIT)&rft.au=Gongxun%20Liu&rft.date=2016-05-01&rft.spage=0504&rft.epage=0509&rft.pages=0504-0509&rft.eissn=2154-0373&rft_id=info:doi/10.1109/EIT.2016.7535292&rft.eisbn=146739985X&rft.eisbn_list=9781467399852&rft_dat=%3Cproquest_CHZPO%3E1835603856%3C/proquest_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i208t-ff06ccf858f8642296073bbafd869db261bcfa50092cc3289fa8348b25bcbc803%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1835603856&rft_id=info:pmid/&rft_ieee_id=7535292&rfr_iscdi=true |