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Age and Gender Identification in Social Media

James Marquardt, Golnoosh Farnadi, Gayathri Vasudevan, Marie-Francine Moens, Sergio Davalos, Ankur Teredesai, Martine De Cock
2014 Conference and Labs of the Evaluation Forum  
We examine the predictive quality in terms of age and gender of several sets of features extracted from various genres of online social media.  ...  Through comparison, we establish a feature set which maximizes accuracy of gender and age prediction across all genres examined.  ...  Acknowledgements This work was funded in part by the SBO-program of the Flemish Agency for Innovation by Science and Technology (IWT-SBO-Nr. 110067).  ... 
dblp:conf/clef/MarquardtFVMDTC14 fatcat:2ddupuc2yvhp3bsw47lopntx2e

Cross-Genre Age and Gender Identification in Social Media

Anam Zahid, Aadarsh Sampath, Anindya Dey, Golnoosh Farnadi
2016 Conference and Labs of the Evaluation Forum  
Author profiling is the task of predicting the author's age and gender from his/her writing.  ...  We then ensemble single-genre predictive models trained on the blog, social media and Twitter data sources, to build our multi-genre ensemble approach.  ...  For all users in U train , we know their age and gender, and our aim is to predict the age and gender of all users in U test based on their written text.  ... 
dblp:conf/clef/ZahidSDF16 fatcat:npeywd3ew5dddjb5fhfph3shuy

Data on social media use related to age, gender and trust constructs of integrity, competence, concern, benevolence and identification

Gillian Warner-Søderholm, Andy Bertsch, Annika Søderholm
2018 Data in Brief  
We believe that our dataset and instrument may give important insights related to computers in human behavior, and predicting trust antecedents in social media use such as age, gender, number of hour online  ...  This article contains data collected from self-report surveys of respondents to measure 1) social media usage, 2) age, 3) gender and 4) trust, measured within five major trust constructs of a) Integrity  ...  Acknowledgements This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.  ... 
doi:10.1016/j.dib.2018.03.065 pmid:29900222 pmcid:PMC5996285 fatcat:cacj5phtr5eb3n7fo2x2vgsjze

Overview of the 4th Author Profiling Task at PAN 2016: Cross-Genre Evaluations

Francisco Manuel Rangel Pardo, Paolo Rosso, Ben Verhoeven, Walter Daelemans, Martin Potthast, Benno Stein
2016 Conference and Labs of the Evaluation Forum  
For this purpose a corpus from Twitter has been provided for training, and different corpora from social media, blogs, essays, and reviews have been provided for evaluation.  ...  The use of specific sentences per gender (e.g. "my wife", "my man", "my girlfriend"...) and age ("I'm" followed by a number) was used in [14] and sentiment words were taken into account in [31, 14] .  ...  Acknowledgements Our special thanks go to all of PAN's participants, as well as to MeaningCloud 7 for sponsoring the author profiling shared task award, and to Adobe 8 for sponsoring PAN.  ... 
dblp:conf/clef/PardoRVDPS16 fatcat:ufnvq4ffifhs7bntetza2bshqe

On the Multilingual and Genre Robustness of EmoGraphs for Author Profiling in Social Media [chapter]

Francisco Rangel, Paolo Rosso
2015 Lecture Notes in Computer Science  
In this work we focus on testing the robustness of EmoGraphs when applied to age and gender identification.  ...  Author profiling aims at identifying different traits such as age and gender of an author on the basis of her writings.  ...  The research has been carried out in the framework of the European Commission WIQ-EI IRSES (no. 269180) and DIANA -Finding Hidden Knowledge in Texts (TIN2012-38603-C02) projects.  ... 
doi:10.1007/978-3-319-24027-5_28 fatcat:v7nlys472ndopp5gnrjwsrgtme

Age and Gender Profiling of Social Media Accounts

Jan Kristoffer Y. Cheng, Avril Ranezca L. Fernandez, Rissa Grace Marie M. Quindoza, Shayane E. Tan, Charibeth Cheng
2017 Pacific Asia Conference on Information Systems  
As such, this study aims to identify gender and age group of Filipino social media accounts through analyzing post contents.  ...  A computational model capable of gender and age classification will be built as the final product.  ...  This paper focuses on profiling the age and gender of Filipino social media accounts.  ... 
dblp:conf/pacis/ChengFQTC17 fatcat:zjuzrq5aifbyljg7irzqiu2x4e

Data-driven Approaches to Author's Profiling Identification for Russian Texts on Base of Complex Machine Learning Models in Combinations with Siamese Networks

2018 DEStech Transactions on Computer Science and Engineering  
of character n-grams frequencies, Linguistic Inquiry and Word Count and others) to form the vector of derived features in order to identify gender and age of the author of text is described.  ...  In this work data-driven approaches to author's profiling identification for Russian texts are investigated on base of a united data corpus.  ...  This work has been carried out using computing resources of the federal collective usage center Complex for Simulation and Data Processing for Mega-science Facilities at NRC "Kurchatov Institute" (ministry  ... 
doi:10.12783/dtcse/ceic2018/24526 fatcat:abfdshifzrdpzo7yxwj4izfdsu

Evaluation and Sociolinguistic Analysis of Text Features for Gender and Age Identification

Vasiliki Simaki, Iosif Mporas, Vasileios Megalooikonomou
2016 American Journal of Engineering and Applied Sciences  
The paper presents an interdisciplinary study in the field of automatic gender and age identification, under the scope of sociolinguistic knowledge on gendered and age linguistic choices that social media  ...  age detection tasks on a corpus consisted of social media texts.  ...  Finally, the gender feature is among the informative clues and proves that the knowledge of the gender improves the correct age identification of the user's text in social media.  ... 
doi:10.3844/ajeassp.2016.868.876 fatcat:x6jknk5s5ndg7pl26vjpyaitom


Michal Mičík, Mikuláš Gangur, Ludvík Eger
2022 Journal of Business Economics and Management  
The research findings provide a deeper understanding of the factors that influence trust in the context of social media communication and expand existing knowledge.  ...  The main objective of this research is to identify which dimensions of trust play the most significant role in building trust in communication on social media.  ...  , gender and participants' social media usage in their lives.  ... 
doi:10.3846/jbem.2022.17387 fatcat:g4j53cwzzvauvcnombkzazcs5q

Cross-media User Profiling with Joint Textual and Social User Embedding

Jingjing Wang, Shoushan Li, Mingqi Jiang, Hanqian Wu, Guodong Zhou
2018 International Conference on Computational Linguistics  
In realistic scenarios, a user profiling model (e.g., gender classification or age regression) learned from one social media might perform rather poorly when tested on another social media due to the different  ...  Empirical studies demonstrate the effectiveness of the proposed approach to two cross-media user profiling tasks, i.e., cross-media gender classification and cross-media age regression.  ...  The research work is supported by three National Natural Science Foundation of China (No.61751206, No.61331011 and No.61672366) and Collaborative Innovation Center of Novel Software Technology and Industrialization  ... 
dblp:conf/coling/WangLJWZ18 fatcat:dyynzgpodbgo7hhcs7odi53f2i

KCE_DAlab@MAPonSMS-FIRE2018: Effective word and character-based features for Multilingual Author Profiling

Sharmila Devi V, S. Kannimuthu, Ravikumar G, Anand Kumar M
2018 Forum for Information Retrieval Evaluation  
This paper illustrates the work on identification of gender and age-group in Multilingual Author Profiling on SMS messages (MAPonSMS) shared task conducted in the Forum for Information Retrieval and Evaluation  ...  In gender identification, a profile may be either male or female. The author's age-group fall into one of the three categories: 15-19, 20-24, 25-xx.  ...  Acknowledgment We would like to thank MAPonSMS organizers and Forum for Information Retrieval Evaluation-FIRE 2018 for organizing the Author profiling task.  ... 
dblp:conf/fire/VSGM18 fatcat:xbziptz6njesvpmidrncubpzfe

Author Profiling at PAN: from Age and Gender Identification to Language Variety Identification (invited talk)

Paolo Rosso
2017 Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)  
In this talk we will give an overview of the PAN 1 shared tasks that since 2013 have been organised at CLEF and FIRE evaluation forums, mainly on age and gender identification in social media, although  ...  In 2017 the PAN author profiling shared task addresses jointly gender and language variety identification in Twitter where tweets have been annotated with authors' gender and their specific variation of  ... 
doi:10.18653/v1/w17-1205 dblp:conf/vardial/Rosso17 fatcat:cd3rdqwrczhf7ov36zu4z5p4fu

Classification Of Twitter's Data To Get Gender Identification

Waqas Ali, Malik Tahir Hassan, Syed Fawad Raza, Usman Fiaz
2018 VAWKUM Transactions on Computer Sciences  
We examined the knowledge extracted from corpus of twitter's online social media in term of gender identity.  ...  This paper describes the accuracy of various algorithms for classification of text on the basis of gender identification.  ...  In data mining, a lot of related work done in the filed of gender identification by using the textual data gathered from different social media applications, a large part of it is finished in reaction  ... 
doi:10.21015/vtcs.v16i1.545 fatcat:mj6jmz4sr5edbicl544daaxbwu

Text You Pictures: The Role of Group Belonging, Race Identity, Race, and Gender in Older Adolescents' Mobile Phone Use

Valerie Barker
2018 Social Sciences  
, race identity, and group markers: race and gender.  ...  The findings confirmed that social identity markers play a role in popular forms of social mobile use (e.g., texting, phone camera, and music), especially among females.  ...  Social Identity and Social and Digital Media Use Across a variety of age contexts, several motives for the use of digital and social media have been identified.  ... 
doi:10.3390/socsci7070115 fatcat:qks6asvrjzd43iwiez7iwrjz2m

Gender and Age Prediction Multilingual Author Profiles Based on Comments

Ali Nemati
2018 Forum for Information Retrieval Evaluation  
Recently, several approaching been presented to detect automatically users' age and gender classification from multiple languages based on documents, text, and comments on the web or social media update  ...  The accuracy result is 83 percent for gender category, 60 percent for age, and accuracy 49 percent is for joint age and gender category.  ...  Marquardt and el., has published a paper about the predictive age and gender identification according to Social Media at University of Washington [13] .  ... 
dblp:conf/fire/Nemati18 fatcat:vl5jk232prbslotx2ildi6zvgy
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