@inproceedings{rouhizadeh-etal-2018-identifying,
title = "Identifying Locus of Control in Social Media Language",
author = "Rouhizadeh, Masoud and
Jaidka, Kokil and
Smith, Laura and
Schwartz, H. Andrew and
Buffone, Anneke and
Ungar, Lyle",
editor = "Riloff, Ellen and
Chiang, David and
Hockenmaier, Julia and
Tsujii, Jun{'}ichi",
booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
month = oct # "-" # nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D18-1145",
doi = "10.18653/v1/D18-1145",
pages = "1146--1152",
abstract = "Individuals express their locus of control, or {``}control{''}, in their language when they identify whether or not they are in control of their circumstances. Although control is a core concept underlying rhetorical style, it is not clear whether control is expressed by how or by what authors write. We explore the roles of syntax and semantics in expressing users{'} sense of control {--}i.e. being {``}controlled by{''} or {``}in control of{''} their circumstances{--} in a corpus of annotated Facebook posts. We present rich insights into these linguistic aspects and find that while the language signaling control is easy to identify, it is more challenging to label it is internally or externally controlled, with lexical features outperforming syntactic features at the task. Our findings could have important implications for studying self-expression in social media.",
}
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<abstract>Individuals express their locus of control, or “control”, in their language when they identify whether or not they are in control of their circumstances. Although control is a core concept underlying rhetorical style, it is not clear whether control is expressed by how or by what authors write. We explore the roles of syntax and semantics in expressing users’ sense of control –i.e. being “controlled by” or “in control of” their circumstances– in a corpus of annotated Facebook posts. We present rich insights into these linguistic aspects and find that while the language signaling control is easy to identify, it is more challenging to label it is internally or externally controlled, with lexical features outperforming syntactic features at the task. Our findings could have important implications for studying self-expression in social media.</abstract>
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%0 Conference Proceedings
%T Identifying Locus of Control in Social Media Language
%A Rouhizadeh, Masoud
%A Jaidka, Kokil
%A Smith, Laura
%A Schwartz, H. Andrew
%A Buffone, Anneke
%A Ungar, Lyle
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F rouhizadeh-etal-2018-identifying
%X Individuals express their locus of control, or “control”, in their language when they identify whether or not they are in control of their circumstances. Although control is a core concept underlying rhetorical style, it is not clear whether control is expressed by how or by what authors write. We explore the roles of syntax and semantics in expressing users’ sense of control –i.e. being “controlled by” or “in control of” their circumstances– in a corpus of annotated Facebook posts. We present rich insights into these linguistic aspects and find that while the language signaling control is easy to identify, it is more challenging to label it is internally or externally controlled, with lexical features outperforming syntactic features at the task. Our findings could have important implications for studying self-expression in social media.
%R 10.18653/v1/D18-1145
%U https://aclanthology.org/D18-1145
%U https://doi.org/10.18653/v1/D18-1145
%P 1146-1152
Markdown (Informal)
[Identifying Locus of Control in Social Media Language](https://aclanthology.org/D18-1145) (Rouhizadeh et al., EMNLP 2018)
ACL
- Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone, and Lyle Ungar. 2018. Identifying Locus of Control in Social Media Language. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 1146–1152, Brussels, Belgium. Association for Computational Linguistics.