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Duthler, K. W. (2006). The politeness of requests made via email and voicemail: Support for the hyperpersonal model. Journal of Computer-Mediated Communication, 11(2), article 6. http://jcmc.indiana.edu/vol11/issue2/duthler.html
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This study analyzes requests made via email and voicemail for properties of politeness (Brown & Levinson, 1987). Voicemail users have less control over planning, composing, editing, and executing messages, and must manage more nonverbal cues than email users. Thus, it is predicted that email will enable users to create more polite speech than voicemail. A 2 (communication medium: email or voicemail) x 2 (imposition: low or high) factorial design was implemented to test this hypothesis. One hundred fifty-one participants created request messages that were subsequently analyzed for properties of politeness. Overall, the results indicate email requests were more polite than voicemail requests. These results are consistent with the hyperpersonal model (Walther, 1996). Two competing themes characterize the computer-mediated communication (CMC) literature concerning the ability of low bandwidth media to foster social and negotiation tasks. Short, Williams, and Christie (1976) suggested that effects on interaction can be predicted by the cues that are not transmitted via various media (p. 207). Lower bandwidth media, because they restrict more communication cues than face-to-face communication, are less suited for social and negotiation tasks than face-to-face media. CMC theories following this line of reasoning have been referred to as the cues filtered out model (Culnan & Markus, 1987). Walther and Parks (2002) describe the basic assumption of this model as follows: …the functions served by nonverbal cues in face-to-face interaction go unmet in computer-mediated interaction because the nonverbal cues are absent. If no other cues can perform the social functions that physical appearance, copresence and dynamic nonverbal behavior can, then…CMC must always be impersonal. (p. 532)
An alternative and more recent development is Walther's (1996)
hyperpersonal model, which predicts that low bandwidth media can
facilitate social and negotiation tasks beyond what is possible in
face-to-face interaction. According to this model, the filtering of
nonverbal cues advantages communicators. Communicators are
strategically enabled to manipulate their identity, time the
transmission of their messages, and plan, organize, and edit their
communication in pursuit of relational goals. Such strategic control
in CMC can facilitate negotiation, relationship development, and
social tasks.
Politeness Theory
Politeness was presented as a formal theoretical construct by Brown
and Levinson (1978; 1987), based on earlier work on 'face' by
sociologist Erving Goffman (1955). According to Holtgraves (2002),
it is an extensive and complex theory of the interpersonal
underpinnings of language production seeking to answer why people do
not always speak in the clearest, most direct, and most efficient
way possible. The reason, suggest Brown and Levinson (1987), is that
we are all motivated by two desires: (1) the need to be approved of
by or connected to others (positive face), and (2) the need to
remain autonomous or independent (negative face). Examples of the
desire for positive face include the wish to be respected by
colleagues, evaluated as competent and fair by subordinates, and
strongly valued as a member of a community (Wilson, Aleman, &
Leatham, 1998). Examples of the desire to maintain negative face
include the wish to be left alone, to be self-directed and
independent of others, and not to be restricted or otherwise impeded
upon. Brown and Levinson (1987) maintain that individuals recognize
that in order to maintain one's own positive and negative face, one
must support the face needs of others.
H1: Imposing requests will be rated higher on measures of politeness than unimposing requests. The studies upon which politeness theory is based have primarily addressed face-to-face communication. The cues filtered out and hyperpersonal models provide insights into how politeness may vary according to social and technical concerns within the context of CMC. This literature is reviewed below. Theories of CMC Cues Filtered Out Model
The cues filtered out model is based on the concepts of bandwidth
and social presence. Walther and Parks (2002) define bandwidth as
"…the number of communication cue systems a technology
can convey, specifically, the incremental addition to verbiage of
voice, kinesics, and proxemics" (p. 531). The bandwidth of a
communication medium directly affects the degree of social presence
(Short, Williams, & Christie, 1976)—"the feeling that
the other person is involved in the communication exchange"
(Sussman & Sproull, 1999, p. 152). As social presence decreases,
the conversational partner is de-individuated. De-individuation
results in an increased likelihood of anti-social behavior, lack of
adherence to convention, and disinhibited behavior (Chester &
Gwynne, 1998; Culnan & Markus, 1987; Kiesler, Siegel, &
McGuire, 1984). Thus, the cues filtered out model proposes a
negative relationship between bandwidth/social presence and
de-individuation.
Compared to face-to-face communication CMC provides the deliverer of bad news with relatively fewer cues regarding the social context and the recipient of the communication (Sproull & Kiesler, 1986). Where these cues are attenuated, the social presence of the recipient…is less salient…by buffering the deliverer's psychological discomfort throughout the delivery process. If discomfort is reduced, the tendency to distort negative information…may also be reduced. (p. 152) Sussman and Sproull (1999) found that individuals communicating via synchronous CMC were less likely than those communicating face-to-face or by telephone to be polite or "sugar-coat" (p. 152) information, by delivering bad news as efficiently as possible. During face-to-face interactions, in contrast, the bad news message was positively distorted. In summary, the cues filtered out model predicts a positive relationship between bandwidth and politeness. Text-only CMC is best suited for the efficient transmission of information (e.g., bald, on record). However, while the cues filtered out model proposes the positive relationship between bandwidth and politeness discussed above, the hyperpersonal model suggests that a negative relationship may exist. Hyperpersonal Model
In contrast to the cues filtered out model, the hyperpersonal model
(Walther, 1996) suggests that CMC can facilitate more socially
desirable levels of interaction than face-to-face communication
precisely because of its lower bandwidth. Partial cues in CMC allow
users to employ visual anonymity strategically. Common identity cues
such as gender or physical ability are not immediately apparent. CMC
users can manipulate these cues to optimize their self-presentation.
In combination with this identity optimizing effect, receivers
formulate idealized perceptions of the sender. Cues such as language
use or timing of self-disclosure are among the few mechanisms by
which one can form an opinion of the other's identity. As the sender
successfully manipulates these cues, the receiver creates an
idealized perception of his/her conversational partner.
Hyperpersonal Communication: Electronic Mail and Voicemail
Although voicemail and electronic mail are both asynchronous and
neither requires the co-presence of communicators, email may better
facilitate hyperpersonal communication. "The asynchronous
nature of e-mail allows users to take time to compose and edit their
messages…" and these messages can be
"…carefully edited, formal, and linguistically
complex" (Herring, 2002, p. 115). The control afforded by email
to plan, compose, edit, review, and execute helps enable
hyperpersonal communication. Voicemail, in contrast, is asynchronous
and allows the communicators to plan messages in advance, but
editing is not possible. The voicemail caller has an opportunity to
strategize only prior to delivering the message. As soon as the
message is composed, the opportunity to change the message is gone.
Furthermore, a discrepancy between plan and performance often exists
for voicemail. One must be particularly skilled (or write it down
verbatim in advance) to deliver the voicemail message exactly as
planned. Given these limitations, the sender of voicemail is less
likely to create messages characteristic of hyperpersonal
communication.
H2: Electronic mail requests will be rated higher on measures of politeness than voicemail requests. In communicative situations where degree of imposition is low, users of email and voicemail are expected to create equally polite messages. In simple situations, simple messages suffice. There is little need to plan, compose, edit, or review, because the face threats are minimal. However, when imposition is high, email users will create more polite messages because of improved control over editing, plan to performance, and reduced cues. The same properties are unavailable to voicemail users. H3: Less imposing requests made via email or voicemail will not differ on ratings of politeness. Highly imposing requests via email will be rated higher on measures of politeness than voicemail requests (see Figure 1).
Figure 1. Hypothesis H3: Degree of imposition
by communication medium interaction diagram
Design and Overview The hypotheses were tested using a 2 (communication medium: electronic mail or voicemail) x 2 (degree of imposition: low or high) factorial design.1 Participants were randomly assigned to one of the four experiment conditions using systematic random assignment. The participants reported to a typical on-campus college office, equipped with a desk and chair, computer, and a telephone. All participants read on a computer screen a communication scenario requiring them to make a request of a professor. Participants either emailed or left a voicemail message request. Low imposition participants requested to meet during regular office hours. High imposition participants requested a meeting at a time other than the professor's regular office hours. Voicemail messages were transcribed, saved as a word processing file, and printed. Electronic mail messages were copied, pasted into a word processing file, and printed. All requests were subsequently coded for politeness by two judges. Independent Variables
Communication Medium. Participants
assigned to the electronic mail condition were instructed to create
a message in response to the communication scenario by typing their
request using electronic mail software (Microsoft's Outlook 2003).
Upon completing the email message, respondents clicked the "send"
button to deliver the message to the professor. The participants
assigned to the voicemail condition were instructed to pick up the
handset of the phone located on the desk, dial the professor's
number, speak into the receiver, and replace the handset upon
completion.
Participants and Procedures
One hundred fifty-one undergraduate students enrolled in
communication classes at a large southeastern university in the
United States participated in the study. Each created a request
message, which was later analyzed for politeness. In the final
analysis, 148 messages were usable. One voicemail message was
eliminated because it was incomprehensible. Two other requests were
eliminated due to technical difficulties with their delivery. Of the
participants in the study 102 (69%) were female and 46 (31%) male.
The average age of the participants was 23 years.
Coding Requests for Politeness Coding of the politeness of requests proceeded in three steps. First, the request messages were segmented by the author into components (described below) including: address phrase, meeting request, request for reply, and adjunct phrases. Second, a graduate student and a professor, both familiar with politeness theory but not the hypotheses of the study, separately analyzed the components for politeness. Coding disagreements between the judges were resolved through discussion. A coding scheme for politeness developed by Holtgraves and Yang (1992) was modified to accommodate complex requests. Consistent with Holtgraves and Yang (1992), the judges subsequently rated on nine-point Likert-type scales the overall politeness of the request message and the formality of address phrase. The judges' ratings of these variables were based on the content coding completed in step two. In addition, as a measure of politeness, the total number of words and number of adjunct phrases were counted for each message. Number of adjunct phrases, number of words, formality of address phrase, and overall politeness formed the four measures of politeness analyzed in this study. Message Component One—Address Phrase The address phrase is the greeting at the beginning of the message created by the participant. Judges determined if the address phrase was informal, formal, or not present. Informal address phrases included the use of first names, nicknames, or slang terms such as "teach," "prof," etc. Formal address phrases included the use of Dr., Professor, Mrs., etc. If no address phrase was used, the judge coded it as such. Message Component Two—Meeting Request and Request for Reply
The meeting request was the sentence that actually
requested a meeting with the professor. Given the nature of
asynchronous communication, many of the participants requested a
reply from the professor via phone and/or email. The sentence
requesting a reply was categorized as the request for
reply. Both the meeting request and the request for reply were
coded utilizing Brown and Levinson's (1987) five superstrategies.
Message Component Three—Adjunct Phrases
Adjunct phrases included any sentence or phrase of positive or
negative politeness other than those in the address phrase, meeting
request, or request for reply. Adjunct phrases coded as positive
politeness included any small talk, humor, identity marker
("This is Jane from Class X"), offer or promise
to reciprocate, or providing reasons for making the request. The
identifying characteristic of a positively polite adjunct phrase was
an attempt to buttress the relationship between the receiver and the
sender. Adjunct phrases were coded as negative politeness when the
identifying characteristic was recognition on the part of the sender
that the request was an impingement on the autonomy of the receiver.
Adjuncts coded as negative politeness included admission of
impingement, expressions of appreciation, indication of reluctance
to make the request, giving overwhelming reasons for making the
request, asking for forgiveness, and going on record as incurring a
debt.
Measures of Politeness According to Holtgraves and Yang (1992) and Craig, Tracy, and Spisak (1986), a weakness of Brown and Levinson's (1987) politeness theory is their failure to develop a precise measure for politeness. Several measures of politeness exist (Ambady, Koo, Lee, & Rosenthal, 1996; Holtgraves & Yang, 1992; Lee, 1993, 1999; Reel & Thompson, 2004; Sussman & Sproull, 1999). Holtgraves and Yang (1992) devised a precise quantitative measure of politeness; it is utilized in the present study. Formality of Address Phrase Each of the two judges evaluated the address phrase by rating it on a nine-point scale for overall formality (1 = very informal; 9 = very formal). Address phrases utilizing the greeting "Hi" without a formal name were considered informal. Address phrase such as the greeting "Dear" accompanied by the formal label "Dr. Chris Lane" were considered formal. According to Brown and Levinson (1987), informal address phrases represent positive politeness, and formal address phrases represent negative politeness. The two judges' ratings were summed and averaged to form this dependent variable. Inter-rater reliability for formality of address phrase was .853. Number of Words and Adjunct Phrases
The number of words was calculated by counting the number of words
in an entire request message. Vocalized pauses (um, ahh,
an..dahh) were subtracted from the voicemail condition. The
number of adjunct phrases was calculated for each message
to form the final dependent measure of politeness for analysis.
A goal of the present study was to measure the effect of communication technology on the politeness of requests. Although many measures of politeness exist, Holtgraves and Yang's (1992) measuring technique was utilized. To assess the impact of the politeness coding of request messages on the evaluation of overall politeness, a standard multiple regression analysis was performed using SPSS REGRESSION. Overall politeness served as the criterion variable. The politeness superstrategy for meeting request, superstrategy for request for reply, formality of address phrase, number of words, and number of adjuncts served as predictor variables in the analysis. Nearly half of the variance (R2=.46; adj R2=.442) in overall politeness was accounted for by the five predictor variables, F[5,143]=23.62, p<.001. Table 1 displays the unstandardized regression coefficients (В), standardized regression coefficients (β), t-value, and probability for each predictor variable. Each of the predictor variables contributed significantly to overall politeness. Unexpectedly, the number of adjunct phases was inversely related to overall politeness (β=-3.41, t=-4.404, p<.001).
Table 1. Regression of coding components onto
overall politeness
R2=.461; F(5,143)=23.616, p<.001 * p<.001 Presented in Table 2 are the descriptive statistics for all measures of politeness, as well as the F statistics and their associated probability levels resulting from a series of ANOVAs.
Table 1. The effect of medium and degree of
imposition on measures of politeness
IMP = imposition; CM = communication medium; M = mean; SD = standard deviation * p<.05 Hypothesis One (H1) Hypothesis One (H1) predicted that imposing requests would be rated higher on politeness than unimposing requests. Hypothesis One (H1) received partial support based on factorial ANOVAs. First, as predicted, significantly more adjunct phrases were produced by those creating requests that were imposing (M=3.81) than by those creating less imposing requests (M=3.44), F[1,143]=4.56, p<.05. Second, as predicted, those making highly imposing requests used significantly more words (M=62.32) than those making less imposing requests (M=55.67), F[1,143]=5.84, p<.05. Third, the results indicate that formality of address phrase did differ between high imposition (M=5.87) and low imposition requests (M=6.72), F[1,143]=4.54, p=.035, though the difference was not in the hypothesized direction. Fourth, the results indicate the overall politeness of imposing requests (M=5.39) was rated as nearly the same as the politeness of unimposing requests (M=5.33; F[1,143]=.12). Hypothesis Two (H2) Hypothesis Two (H2) predicted that email message requests would be rated higher on measures of politeness than voicemail requests. Based on the results of factorial ANOVAs, Hypothesis Two (H2) was partially supported. First, as predicted, email requests incorporated more adjunct phrases (M=3.89) than voicemail requests (M=3.36), F[1,143]=9.10, p<.05. In addition, the difference between email requests and voicemail requests for number of words approached significance (M=61.17 vs. 56.82) F[1,143]=2.50, p=.116. The address phrase was not more formal in email (M=6.28) than voicemail requests (M=6.31), F[1,143]=.004, p=.949. Moreover, the email requests were not significantly more polite overall (M=5.24) than voicemail requests (M=5.48) F[1,143]=2.04, p=.156. Hypothesis Three (H3) Hypothesis Three (H3) predicted that less imposing requests made via email or voicemail would not differ on ratings of politeness, but highly imposing requests via email would be rated higher on measures of politeness than voicemail requests (see Figure 1). As predicted, the pattern of results and statistical tests indicate that email requests were more polite than voicemail requests under conditions of high imposition. Number of Adjuncts The interaction hypothesis for the dependent variable number of adjuncts was supported (see Figure 2). As predicted, the number of adjunct phrases in email requests and voicemail requests were similar under conditions of low imposition (M=3.51 vs. 3.36). However, email requests included more adjunct phrases (M=4.26) than voicemail requests (M=3.36) under conditions of high imposition, F[1,143]=4.70, p<.05. A two-tailed independent samples t-test confirmed that highly imposing email requests included significantly more adjunct phrases (t=-4.124, p<.05) than highly imposing voicemail requests. As predicted, less imposing email requests and voicemail requests produced a similar number of adjunct phrases (t=.567, p=.572).
Figure 2. Degree of imposition by communication
medium: H3 results for number of adjuncts interaction diagram
Number of Words The interaction hypothesis for the dependent variable number of words was supported (see Figure 3). As predicted, under conditions of low imposition, the number of words in email requests was similar to the number of words utilized for voicemail requests (M=56.6 vs. 54.7). However, under conditions of high imposition, email requests included more words (M=67.6) than voicemail requests (M=57.0), F[1,143]=5.13, p<.05. A two-tailed independent samples t-test indicated that the number of words incorporated into highly imposing email requests was significantly different than the same measure for voicemail (t=2.676, p<.05). Further supporting the hypothesis, an independent samples t-test revealed that less imposing email and voicemail requests did not differ significantly in the number of words needed to construct the message (t=.409, p=.684).
Figure 3. Degree of imposition by communication
medium: H3 results for number of words interaction diagram
Formality of Address Phrase The interaction hypothesis for the dependent variable formality of address phrase was supported by a Factorial ANOVA (see Figure 4). Under conditions of low imposition the mean of formality of address phrase for email requests was higher (M=7.09) than the mean of formality of address phrase for voicemail (M=6.35). Unexpectedly, under conditions of high imposition, the formality of address phrase mean of email requests was lower (M=5.47) than the formality of address phrase mean of voicemail requests (M=6.26), F[1,143]=3.67, p<.05.
Figure 4. Degree of imposition by communication
medium: H3 results for formality address phrase interaction diagram
Overall Politeness The interaction hypothesis for the dependent variable overall politeness was not significant according to the factorial ANOVA, F[1,143]=.765, p=.383. Under conditions of low imposition the overall politeness of email requests (M=5.29) was slightly lower than voicemail requests (M=5.38), and under conditions of high imposition, email requests were also rated slightly lower in overall politeness (M=5.20) than voicemail requests (M=5.58).
The results demonstrate that communicators using electronic mail
produced more adjunct phrases and more words than those using
voicemail. In addition, email requests varied in the number of
adjunct phrases, number of words, and the formality of address
phrase according to imposition, while voicemail requests were stable
and static across these same variables. This support for the
hypotheses leads to the conclusion that email facilitates politeness
strategies in support of hyperpersonal communication.
The results of the current study stand in strong support of Walther's (1996) observation that CMC technologies, particularly low bandwidth, lean, asynchronous, text-based CMC, can facilitate socially desirable communication. In this study, email enabled the creation of more polite message content compared to messages created through voicemail. Text-based, asynchronous communication eliminates the necessity to concentrate on performance cues and adds the capability to plan, compose, and edit a communication. This increased functionality enables communicators to create more carefully-considered messages. More generally, the present research has demonstrated that the intersection of politeness theory and CMC can lead to a deeper understanding of the constraints and freedoms offered by CMC technology. This article improved greatly with the support of many people. Laura Vaughan, research assistant to the author, offered her excellent intellectual and technical support to this project. Richard Leeman, Chair of the Department of Communication at UNC Charlotte, found financial support for the technical resources required for this project. The editor and two anonymous reviewers for JCMC provided invaluable comments and suggestions for the improvement of this manuscript.
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is an Assistant Professor in the Department of
Communication Studies at the University of North Carolina, Charlotte,
where he teaches mass media, media law, computer-mediated communication,
and research methods. His current research concerns the impact of
instructional technology on communication in the classroom and
persuasion on the web.
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