Impoliteness (Hate Speech/Incivility)
Authors: Esau Katharina 
Published: April 2021

The variable impoliteness is an indicator used to describe violations of communication norms. These norms can be social norms established within a society, a culture or parts of a society (e.g. a social class, milieu or group). In this sense impoliteness is associated with, among other things, aggressive, offensive or derogatory communication expressed directly or indirectly to other individuals or parties. More specifically name calling, vulgar expressions or aspersions are classified as examples of impolite statements (e.g. Papacharissi, 2004; Seely, 2017). While some scholars distinguish between impoliteness and incivility and argue that impoliteness is more spontaneous, unintentional and more frequently regretted than incivility (e.g. Papacharissi, 2004; Rowe, 2015), other scholars include impoliteness into the concept of incivility and argue that the two concepts have no clear boundaries (Coe, Kenski, & Rains, 2014; e.g. Seely, 2017). In many studies a message is classified as impolite if the message contains at least one instance of impoliteness (e.g. a swear word). The direction of an impolite statement is coded as ‘interpersonal’/‘personal’ or ‘other-oriented’/‘impersonal’ or sometimes also as ‘neutral’, meaning it is not directed at any group or individual.
Field of application/theoretical foundation:
Impoliteness is a broader concept of violations of norms in communication that, in digital communication research, is often referred to in studies on incivility. Politeness can be related to theories on social norms of communication and conversation, for example conversational-maxims (Grice, 1975), face-saving concepts (Brown & Levinson, 1987; Goffman, 1989) or conversational-contract theories (Fraser, 1990).
References/combination with other methods of data collection:
Impoliteness is examined through content analysis and is sometimes combined with comparative designs (e.g., Rowe, 2015) or experimental designs (Muddiman, 2017; Oz, Zheng, & Chen, 2017). In addition, content analyses can be accompanied by interviews or surveys, for example to validate the results of the content analysis (Erjavec & Kova?i?, 2012).
Example studies:
Research question/research interest: Previous studies have been interested in the extent, levels and direction of impoliteness in online communication (e.g. in one specific online discussion, in discussions on a specific topic, in discussions on a specific platform or on different platforms comparatively).
Object of analysis: Previous studies have investigated impoliteness in user comments on political newsgroups, news websites, social media platforms (e.g. Twitter, Facebook), political blogs, science blogs or online consultation platforms.
Timeframe of analysis: Content analysis studies investigate impoliteness in user comments focusing on periods between 2 months and 1 year (Coe et al., 2014; Rowe, 2015; Seely, 2017). It is common to use constructed weeks.
Level of analysis: Most manual content analysis studies measure impoliteness on the level of a message, for example on the level of user comments. On a higher level of analysis, the level of impoliteness for a whole discussion thread or online platform could be measured or estimated. On a lower level of analysis impoliteness can be measured on the level of utterances, sentences or words which are the preferred levels of analysis in automated content analyses.
Table 1. Previous manual content analysis studies and measures of impoliteness

Example study

Construct

Dimensions/Variables

Explanation/example

Reliability

Papacharissi (2004)

impoliteness (separate from incivility)

name-calling

e.g. “weirdo”, “traitor”, “crackpot”

Ir = .91

aspersion

e.g. “reckless”, “irrational”, “un-American”

Ir = .91

synonyms for liar

e.g. “hoax”, “farce”

N/A

hyperboles

e.g. “outrageous”, “heinous”

N/A

non-cooperation

-

N/A

pejorative speak

-

N/A

vulgarity

e.g. ”shit”, “damn”, “hell”

Ir = .89

sarcasm

-

N/A

all-capital letters

used online to reflect shouting

N/A

impoliteness

Ir = .90

Coe et al. (2014)

impoliteness (included in incivility)

name-calling

mean-spirited or disparaging
words directed at a person or
group of people

K-? = .67

aspersion

mean-spirited or disparaging
words directed at an idea,
plan, policy, or behavior

K-? = .61

reference to lying

stating or implying that an
idea, plan, or policy was disingenuous

K-? = .73

vulgarity

using profanity or language that would not be considered proper (e.g., “pissed”, “screw”) in professional discourse

K-? = .91

pejorative for speech

disparaging remark about the way in which a person communicates

K-? = .74

impoliteness/incivility

K-? = .73

Rowe (2015)

impoliteness (separate from incivility)

name-calling

e.g., “gun-nut”, “idiot”, “fool”

? = .82

aspersion

comments containing an attack on the reputation or
integrity of someone or something

? = .72

lying

comments implying disingenuousness

N/A

vulgarity

e.g., “crap”, “shit”, any swear-words/cursing, sexual innuendo

? = 1

pejorative

comments containing language which disparage the manner in which someone communicates (e.g., blather, crying, moaning)

? = 1

hyperbole

a massive overstatement (e.g.,
makes pulling teeth with pliers look easy)

? = .75

non-cooperation

a situation in a discussion in terms of a stalemate

? = .66

sarcasm

-

? = .71

other impoliteness

any other type of impoliteness

? = .72

impoliteness

? = .78

Seely (2017)

impoliteness (included in incivility)

insulting language

name calling and other derogatory remarks often seen in pejorative speech and aspersions

K-? = .84

vulgarity

e.g. “lazy f**kers”, “a**holes”

K-? = 1

stereotyping of political party/ideology

e.g. “typical lying lefties”

K-? = .88

stereotyping using “isms”/discriminatory language

e.g. “if we don’t get rid of idiotic Muslim theologies, we will have growing problems”

K-? = 1

other stereotyping language

e.g. “GENERALS LIKE TO HAVE A MALE SOLDIER ON THEIR LAP AT ALL TIMES.”

K-? = .78

sarcasm

e.g. “betrayed again by the Repub leadership . . . what a shock”

K-? = .79

accusations of lying

e.g. “typical lying lefties”

K-? = .80

shouting

excessive capitalization
and/or exclamation points

K-? = .83

impoliteness/incivility

K-? = .81

Note: Previous studies used different inter-coder reliability statistics: Ir = reliability index by Perreault and Leigh (1989); K-? = Krippendorff’s-?; ? = Cohen’s Kappa

Codebook used in the study Rowe (2015) is available under: https://www.tandfonline.com/doi/full/10.1080/1369118X.2014.940365

References
Brown, P., & Levinson, S. C. (1987). Politeness: Some universals in language usage. Cambridge: Cambridge University Press.
Coe, K., Kenski, K., & Rains, S. A. (2014). Online and Uncivil? Patterns and Determinants of Incivility in Newspaper Website Comments. Journal of Communication, 64(4), 658–679. https://doi.org/10.1111/jcom.12104
Erjavec, K., & Kova?i?, M. P. (2012). “You Don't Understand, This is a New War! ” Analysis of Hate Speech in News Web Sites' Comments. Mass Communication and Society, 15(6), 899–920. https://doi.org/10.1080/15205436.2011.619679
Fraser, B. (1990). Perspectives on politeness. Journal of Pragmatics, 14(2), 219–236. https://doi.org/10.1016/0378-2166(90)90081-n
Goffman, E. (1989). Interaction ritual: Essays on face-to-face behavior. New York: Pantheon Books.
Grice, P. H. (1975). Logic and conversation. In P. Cole (Ed.), Syntax and Semantics: Speech acts (pp. 41–58). New York: Academic Press.
Muddiman, A. (2017). : Personal and public levels of political incivility. International Journal of Communication, 11, 3182–3202.
Oz, M., Zheng, P., & Chen, G. M. (2017). Twitter versus Facebook: Comparing incivility, impoliteness, and deliberative attributes. New Media & Society, 20(9), 3400–3419. https://doi.org/10.1177/1461444817749516
Papacharissi, Z. (2004). Democracy online: Civility, politeness, and the democratic potential of online political discussion groups. New Media & Society, 6(2), 259–283. https://doi.org/10.1177/1461444804041444
Rowe, I. (2015). Civility 2.0: A comparative analysis of incivility in online political discussion. Information, Communication & Society, 18(2), 121–138. https://doi.org/10.1080/1369118X.2014.940365
Seely, N. (2017). Virtual Vitriol: A Comparative Analysis of Incivility Within Political News Discussion Forums. Electronic News, 12(1), 42–61. https://doi.org/10.1177/1931243117739060