We infer a speaker's social identity from subtle linguistic cues

December 15, 2015

When we speak, we "leak" information about our social identity through the nuanced language that we use to describe others, according to new research in Psychological Science, a journal of the Association for Psychological Science. This research shows that people can infer a speaker's social identity (e.g., political party affiliation) from how the speaker uses abstract or concrete terms to describe someone else's behavior.

"Our findings show that language is a powerful tool for communication, not just in the traditional sense, but also in this more implicit, subtle manner," explains lead researcher Shanette Porter of the University of Chicago. "Two people can use strikingly similar words but convey very different messages about their beliefs about others, their attitudes toward others and, as we find in the present research, who they are."

Prior research has shown that people express beliefs, values, and stereotypes about others through subtleties in the way they use language - that is, they communicate not only through what they say, but how they say it.

Describing a person's behavior concretely, using action verbs - for example, "Sam hit her friend" - typically signals that the behavior is a one-time occurrence and not necessarily characteristic of that person. Describing someone's behavior using adjectives and nouns, on the other hand - for example, "Sam is violent" - comes across as more abstract and suggests that the behavior may reflect a personal trait.

Prior research has also demonstrated that we tend to use these linguistic subtleties in a favorable way when we're talking about people who belong to the same group as us: We're likely to use abstract language in discussing their desirable behaviors and concrete language in describing their undesirable behaviors. If we're talking about someone from another group, however, the pattern reverses - we tend to use concrete language to describe positive behaviors, and abstract language to describe negative ones.

Porter and colleagues hypothesized that people can pick up on these linguistic nuances, and use them to identify whether a speaker is likely to share a group membership with the person he or she is talking about.

In one online study, the researchers asked participants to "imagine that someone is communicating with you about a man named Peter." For half of the participants, it was implied that Peter was a Democrat, and for the other half, it was implied that Peter was a Republican.

All participants were then asked to read a passage in which an unknown speaker described Peter's helping and rude behavior. Some participants read a statement in which the speaker described Peter's helping behavior in abstract terms (e.g., "On one occasion, there is a person in a wheelchair who needs assistance getting up a ramp. Peter reaches for the handles of the wheelchair. Peter is helpful.") and his rude behavior in concrete terms. Other participants read a statement in which the speaker described Peter's helping behavior in concrete terms (e.g., "On one occasion, there is a person in a wheelchair who needs assistance getting up a ramp. Peter reaches for the handles of the wheelchair. Peter pushes the wheelchair up the ramp.") and his rude behavior in abstract terms.

The results showed that participants were sensitive to these linguistic cues. Those who read about Peter's desirable behavior in abstract terms (and undesirable behavior in concrete terms) were more likely to believe that the speaker and Peter were part of the same social group than were participants who read about Peter's helping behavior in concrete terms (and rude behavior in abstract terms).

These findings emerged regardless of whether participants believed Peter's social identity was Democratic or Republican. In another study, the researchers found the same pattern of results for Christian group affiliation.

And additional findings revealed that when these linguistic cues were available, participants used them to determine speakers' social group identity, even when they weren't explicitly asked to make such a categorization.

Importantly, there was no evidence that participants' own political, religious, or other group affiliations had an impact on their categorizations of the speakers' social group membership. But the data did show a trend suggesting that participants' own group affiliations influenced whether they liked the speaker.

According to Porter, these findings have implications for those interested in persuasion:

"The interplay between a communicator's language and audience members' social identities is an important issue for marketers, politicians, anyone who wants to persuade a person or group of people."

But the research has relevance for anyone who uses language to communicate, says Porter:

"It may be useful for any of us to know that when we write or speak, our audience perceives a great deal of information from very small variations in the way in which something is communicated."
-end-
Co-authors on the study include Michelle Rheinschmidt-Same and Jennifer A. Richeson of Northwestern University.

This work was supported by a fellowship from the John D. and Catherine T. MacArthur Foundation and a grant from the National Science Foundation (BCS-0921728), both awarded to J. A. Richeson.

All data have been made publicly available via Open Science Framework and can be accessed at https://osf.io/946vb/. The complete Open Practices Disclosure for this article can be found at http://pss.sagepub.com/content/by/supplemental-data. This article has received the badge for Open Data. More information about the Open Practices badges can be found at https://osf.io/tvyxz/wiki/1.%20View%20the%20Badges/ andhttp://pss.sagepub.com/content/25/1/3.full.

For more information about this study, please contact: Shanette Porter at shanette@gmail.com.

The article abstract are available online: http://pss.sagepub.com/content/early/2015/12/04/0956797615612202.abstract

The APS journal Psychological Science is the highest ranked empirical journal in psychology. For a copy of the article "Inferring Identity From Language: Linguistic Intergroup Bias Informs Social Categorization" and access to other Psychological Science research findings, please contact Anna Mikulak at 202-293-9300 or amikulak@psychologicalscience.org.

Association for Psychological Science

Related Language Articles from Brightsurf:

Learning the language of sugars
We're told not to eat too much sugar, but in reality, all of our cells are covered in sugar molecules called glycans.

How effective are language learning apps?
Researchers from Michigan State University recently conducted a study focusing on Babbel, a popular subscription-based language learning app and e-learning platform, to see if it really worked at teaching a new language.

Chinese to rise as a global language
With the continuing rise of China as a global economic and trading power, there is no barrier to prevent Chinese from becoming a global language like English, according to Flinders University academic Dr Jeffrey Gil.

'She' goes missing from presidential language
MIT researchers have found that although a significant percentage of the American public believed the winner of the November 2016 presidential election would be a woman, people rarely used the pronoun 'she' when referring to the next president before the election.

How does language emerge?
How did the almost 6000 languages of the world come into being?

New research quantifies how much speakers' first language affects learning a new language
Linguistic research suggests that accents are strongly shaped by the speaker's first language they learned growing up.

Why the language-ready brain is so complex
In a review article published in Science, Peter Hagoort, professor of Cognitive Neuroscience at Radboud University and director of the Max Planck Institute for Psycholinguistics, argues for a new model of language, involving the interaction of multiple brain networks.

Do as i say: Translating language into movement
Researchers at Carnegie Mellon University have developed a computer model that can translate text describing physical movements directly into simple computer-generated animations, a first step toward someday generating movies directly from scripts.

Learning language
When it comes to learning a language, the left side of the brain has traditionally been considered the hub of language processing.

Learning a second alphabet for a first language
A part of the brain that maps letters to sounds can acquire a second, visually distinct alphabet for the same language, according to a study of English speakers published in eNeuro.

Read More: Language News and Language Current Events
Brightsurf.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.