https://www.technologyreview.com/blog/arxiv/27437/ discussing
http://arxiv.org/abs/1112.3670 "Echoes of power: Language effects and
power differences in social interaction", abstract:

>     Understanding social interaction within groups is key to analyzing online 
> communities. Most current work focuses on structural properties: who talks to 
> whom, and how such interactions form larger network structures. The 
> interactions themselves, however, generally take place in the form of natural 
> language --- either spoken or written --- and one could reasonably suppose 
> that signals manifested in language might also provide information about 
> roles, status, and other aspects of the group's dynamics. To date, however, 
> finding such domain-independent language-based signals has been a challenge.
>
>    Here, we show that in group discussions power differentials between 
> participants are subtly revealed by how much one individual immediately 
> echoes the linguistic style of the person they are responding to. Starting 
> from this observation, we propose an analysis framework based on linguistic 
> coordination that can be used to shed light on power relationships and that 
> works consistently across multiple types of power --- including a more 
> "static" form of power based on status differences, and a more "situational" 
> form of power in which one individual experiences a type of dependence on 
> another. Using this framework, we study how conversational behavior can 
> reveal power relationships in two very different settings: discussions among 
> Wikipedians and arguments before the U.S. Supreme Court.

From the paper proper:

> Status change. Wikipedians can be promoted to administrator status through a 
> public election, and almost always after extensive prior involvement in the 
> community. Since we track the communications of editors over time, we can 
> examine how linguistic coordination behavior changes when a Wikipedian 
> becomes an “admin”. To our knowledge, our study is the first to analyze the 
> effects of status change on specific forms of language use.

> Users are promoted to admins through a transparent election process known as 
> requests for adminship4 , or RfAs, where the community decides who will 
> become admins. Since RfAs are well documented and timestamped, not only do we 
> have the current status of editors, we can also extract the exact time when 
> editors underwent role changes from non-admins to admins.
> Textual exchanges. Editors on Wikipedia interact on talk pages5 to discuss 
> changes to article or project pages. We gathered 240,436 conversational 
> exchanges carried out on the talk pages, where the participants of these 
> (asynchonous) discussions were associated with rich status and social 
> interaction information: status, timestamp of status change if there is one, 
> as well as activity level on talk pages, which can serve as a proxy of their 
> sociability, or how socially inclined they are. In addition, there is a 
> discussion phase during RfAs, where users “give their opinions, ask 
> questions, and make comments” over an open nomination. Candidates can reply 
> to existing posts during this time. We also extracted conversations that 
> occurred in RfA discussions, and obtained a total of 32,000 conversational 
> exchanges. Most of our experiments were carried out on the larger dataset 
> extracted from talk pages, unless otherwise noted. (The dataset will be 
> distributed publicly.)

> We measure the linguistic style of a person by their usage of function words 
> that have little lexical meaning, thereby marking style rather than content. 
> For consistency with prior work, we employed the nine LIWC-derived categories 
> [36] deemed to be processed by humans in a generally non-conscious fashion 
> [25]. The nine categories are: articles, auxiliary verbs, conjunctions, 
> high-frequency adverbs, impersonal pronouns, negations, personal pronouns, 
> prepositions, and quanti-
fiers (451 lexemes total).

Results, starting page 5:

> ...communication behavior on Wikipedia provides evidence for hypothesis 
> Ptarget : users coordinate more toward the (higher-powered) admins than 
> toward the non-admins (Figure 1(a)12 ).
> In the other direction, however, when comparing admins and non-admins as 
> speakers, the data provides evidence that is initially at odds with Pspeaker 
> : as illustrated in Figure 1(b), admins coordinate to other people more than 
> non-admins do (while the hypothesis predicted that they would coordinate 
> less).13 We now explore some of the subtleties underlying this result, 
> showing how it arises as a superposition of two effects.

> One possible explanations for the inconsistency of our observations with 
> Pspeaker is the effect of personal characteristics suggested in Hypothesis B 
> from Section 2. Specifically, admin status was not conferred arbitrarily on a 
> set of users; rather, admins are those people who sought out this higher 
> status and succeeded in achieving it. It is thus natural to suppose that, as 
> a group, they may have distinguishing individual traits that are reflected in 
> their level of language coordination.
>
> ...to investigate whether the effects observed in Figure 1(b) are purely tied 
> to status, we look at communication differences between these same two 
> populations over time periods when there was no status difference between 
> them: we compare the set of admins-to-be — future admins before they were 
> promoted via their RfA — with non-admins. Figure 2(a) shows that the same 
> differences in language coordination were already present in these two 
> populations — hence, they are not an effect of status alone, since they were 
> visible before the former population ever achieved its increase in status.

> One way to separate the second issue from the first is to look at differences 
> in coordination between users who were promoted (admins-to-be), and those who 
> went through the RfA process but were denied admin status (failed-to-be). 
> Both admins-to-be and failed-to-be had the ambition to become admins, but 
> only members of the former group were successful. We investigate coordination 
> differnces between these two groups during a period when their adminship 
> ambitions are arguably most salient: during the discussions in each user’s 
> own RfA process. Figure 2(b) shows that even in the conversations they had on 
> their RfA pages, the admins-to-be were coordinating more to the others than 
> the failed-to-be, providing evidence for a strong form of Hypothesis B.
>
> ... it is interesting to note that the most dramatic change in coordination 
> is visible in the second month after the change in status occurred. This 
> suggests a period of accommodation to the newly gained status, both for the 
> person that undergoes the change and for those witnessing it.

> To study Pspeaker, we create two populations for comparison: the interactions 
> of each admin before his or her promotion via RfA (i.e., when they were 
> admins-to-be), and the interactions of each admin after his or her respective 
> promotion. Figure 3(a) shows how the resulting comparison confirms Pspeaker : 
> admins-to-be decrease their level of coordination once they gain power.14 
> Interestingly, the reverse seems to be true for failed-to-be: after failing 
> in their RfAs — an event that arguably reinforces their failure to achieve 
> high status in the community — they coordinate more (p-value 0.05; we omit 
> the figure due to space limitations.)

So, suck-ups tend to pass RfA more often than those who don't suck up
to whom they are talking to. An interesting analysis, altogether.

-- 
gwern
http://www.gwern.net

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