{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/101549"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/101549","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"OPICO: A platform for collecting and analyzing emoji usage","abstract":"Emojis have emerged as a popular form of digital communication that can quickly convey big ideas or expressions with a single character. Since their creation in 1999, emojis have become a mainstay in the digital lexicography of instant messaging and social media. However, emojis are traditionally used in conjunction with text, as supplemental metadata. This paper explores the feasibility of emoji-only communication and emoji grammars. To gather emoji-only data, we built Opico, an emoji-first, social media mobile app that allows users to share emoji reactions about the places they visit with their friends. Each post in the app is a one-to-five emoji sentence to express an emotion, sentiment, or description about a location. After collecting over 3500 emoji reactions and having over 900 users on the app, the results demonstrate emoji-only communication provided concise forms of expression about various locations across the world. Data analysis has uncovered the various patterns and linguistics of how users construct emoji-only sentences, building the foundation for an emoji grammar.","abstract_html":"Emojis have emerged as a popular form of digital communication that can quickly convey big ideas or expressions with a single character. Since their creation in 1999, emojis have become a mainstay in the digital lexicography of instant messaging and social media. However, emojis are traditionally used in conjunction with text, as supplemental metadata. This paper explores the feasibility of emoji-only communication and emoji grammars. To gather emoji-only data, we built Opico, an emoji-first, social media mobile app that allows users to share emoji reactions about the places they visit with their friends. Each post in the app is a one-to-five emoji sentence to express an emotion, sentiment, or description about a location. After collecting over 3500 emoji reactions and having over 900 users on the app, the results demonstrate emoji-only communication provided concise forms of expression about various locations across the world. Data analysis has uncovered the various patterns and linguistics of how users construct emoji-only sentences, building the foundation for an emoji grammar.","abstract_has_math":false,"creators":["Khandekar, Sujay"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Kumar, Ranjitha"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-09-27T16:17:45Z","date_published":"2018-09-27T16:17:45Z","updated_at":"2026-07-22T22:24:40Z","subjects":["emoji, digital communication, mobile, app"],"languages":["en"],"rights":["Copyright 2018 Sujay Khandekar"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/101549","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kumar, Ranjitha"]},{"key":"dc:creator","label":"Author","values":["Khandekar, Sujay"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-09-27T16:17:45Z","2018-07-10","2018-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["emoji, digital communication, mobile, app"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2018 Sujay Khandekar"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/101549"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Emojis have emerged as a popular form of digital communication that can quickly convey big ideas or expressions with a single character. Since their creation in 1999, emojis have become a mainstay in the digital lexicography of instant messaging and social media. However, emojis are traditionally used in conjunction with text, as supplemental metadata. This paper explores the feasibility of emoji-only communication and emoji grammars. To gather emoji-only data, we built Opico, an emoji-first, social media mobile app that allows users to share emoji reactions about the places they visit with their friends. Each post in the app is a one-to-five emoji sentence to express an emotion, sentiment, or description about a location. After collecting over 3500 emoji reactions and having over 900 users on the app, the results demonstrate emoji-only communication provided concise forms of expression about various locations across the world. Data analysis has uncovered the various patterns and linguistics of how users construct emoji-only sentences, building the foundation for an emoji grammar.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2018-09-27 without embargo terms","The student, Sujay Khandekar, accepted the attached license on 2018-07-09 at 19:06.","The student, Sujay Khandekar, submitted this Thesis for approval on 2018-07-09 at 19:13.","This Thesis was approved for publication on 2018-07-10 at 12:14.","DSpace SAF Submission Ingestion Package generated from Vireo submission #12786 on 2018-09-27 at 10:47:29","Made available in DSpace on 2018-09-27T16:17:45Z (GMT). No. of bitstreams: 2 KHANDEKAR-THESIS-2018.pdf: 6939438 bytes, checksum: e5a686d2ff486f3c3a04f02c02ce84af (MD5) LICENSE.txt: 4212 bytes, checksum: f4e88d0a9ff5771d56b5d402b28363fc (MD5) Previous issue date: 2018-07-10"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["OPICO: A platform for collecting and analyzing emoji usage"]}]}],"canonical_facts":{"dc:contributor":["Kumar, Ranjitha"],"dc:creator":["Khandekar, Sujay"],"dc:date":["2018-09-27T16:17:45Z","2018-07-10","2018-08"],"dc:description":["Emojis have emerged as a popular form of digital communication that can quickly convey big ideas or expressions with a single character. Since their creation in 1999, emojis have become a mainstay in the digital lexicography of instant messaging and social media. However, emojis are traditionally used in conjunction with text, as supplemental metadata. This paper explores the feasibility of emoji-only communication and emoji grammars. To gather emoji-only data, we built Opico, an emoji-first, social media mobile app that allows users to share emoji reactions about the places they visit with their friends. Each post in the app is a one-to-five emoji sentence to express an emotion, sentiment, or description about a location. After collecting over 3500 emoji reactions and having over 900 users on the app, the results demonstrate emoji-only communication provided concise forms of expression about various locations across the world. Data analysis has uncovered the various patterns and linguistics of how users construct emoji-only sentences, building the foundation for an emoji grammar.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2018-09-27 without embargo terms","The student, Sujay Khandekar, accepted the attached license on 2018-07-09 at 19:06.","The student, Sujay Khandekar, submitted this Thesis for approval on 2018-07-09 at 19:13.","This Thesis was approved for publication on 2018-07-10 at 12:14.","DSpace SAF Submission Ingestion Package generated from Vireo submission #12786 on 2018-09-27 at 10:47:29","Made available in DSpace on 2018-09-27T16:17:45Z (GMT). No. of bitstreams: 2 KHANDEKAR-THESIS-2018.pdf: 6939438 bytes, checksum: e5a686d2ff486f3c3a04f02c02ce84af (MD5) LICENSE.txt: 4212 bytes, checksum: f4e88d0a9ff5771d56b5d402b28363fc (MD5) Previous issue date: 2018-07-10"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/101549"],"dc:language":["en"],"dc:rights":["Copyright 2018 Sujay Khandekar"],"dc:subject":["emoji, digital communication, mobile, app"],"dc:title":["OPICO: A platform for collecting and analyzing emoji usage"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:40Z"}