les plantes sont extraordinaires. Elles ne peuvent pas se déplacer. Quand tu as des racines, tous ceux qui sont autour de toi sont fondamentaux.

all meeting frequently at St. James’s

Ah, Jane, I take your place now, and you must go lower, because I am a married woman

— shire

breakfast-room

carriage was sent to meet them at — , and they were to return in it by dinner-time.

barouche-box

Netherfield ball

I may suffer from the want of money. Younger sons cannot marry where they like.”

but fifteen

The envelope itself was likewise full.

Chile has developed from 1990 to date, a considerable decrease in poverty rates, which fell from 40.5% in 1990 to 8.5% in 2015.

Between 1990 and 2016, copper mining provided on average of 7.8% of tax revenue for Chile

A barren, leached cap,

the government reported the discovery of large gold deposits in Lege Dimbi, also in Sidamo.

Due to its electrical conductivity, copper is used in electronics, cars, and wires. This makes copper critical for highly developed countries.

Codelco is a state-owned Chilean mining company and the world’s largest copper producer. Based on their annual report and USGS statistics, they produced ~10% of the world’s copper in 2015 and own 8% of global reserves. They are also a large producer of greenhouse gas emissions. Last year, Codelco produced 3,2 t CO2e/millions tmf from both indirect and direct effects, and in 2011 it consumed 12% of the total national electricity supply.

Copper is a key driver of growth and economic wealth for Chile.

What can Codelco do, then? In addition to cost cutting, Codelco could consider entering the recycling copper industry, as energy prices are driving “virgin” copper costs up.

copper mining significantly contributes to climate change.

The country’s economy is completely dependent on mining. Many poor families are completely dependent on their children working the mines. That $9/day is hard for a child to reject

Walt describes how the multibillion-dollar industry, that has made some people outside Africa really really rich, is not known to workers like Lukasa. He just sells his haul to Chinese traders who have seen their profits increase 400% over the last two years.

Especially one child named Lukasa who gets up at 5 AM to work a 12-hour day for less than $9

Xiamen Tungsten and Xiamen Sanhong Molybdenum would invest more than 2 billion yuan (US$314.13 million) in the surveying and subsequent exploitation of the tungsten ore mine.

The proved reserve of the mine has exceeded Jiangxi's total amount of available tungsten reserves, and has a potential economic value of more than 300 billion yuan (US$47.13 billion).

thousand pounds

She sat intently at work

Here, Sarah, come to Miss Bennet this moment, and help her on with her gown. Never mind Miss Lizzy’s hair.”

dressing-room

He is gone to my father already

a letter to write

sash

in the right rail

properly sanctioned

three or four hundred a year

entail

fifty pounds

Her teeth are tolerable

— — shire

Daughters are never of so much consequence to a father.

Miss De Bourgh exerted herself so far as to curtsey and hold out her hand to both

inferiority of your connexions? — to congratulate myself on the hope of relations, whose condition in life is so decidedly beneath my own?”

executors of my father’s will

That so much social capital for the young comes in the form of followers, likes, and comments from peers and strangers shouldn't lessen its value.

Maintenance of existing social capital stores is often a more efficient use of time than fighting to earn more on a new social network given the ease of just earning interest on your sizeable status reserves. That's just math, especially once you factor in loss aversion.

A social network like Path attempted to limit your social graph size to the Dunbar number, capping your social capital accumulation potential and capping the distribution of your posts. The exchange, they hoped, was some greater transparency, more genuine self-expression. The anti-Facebook. Unfortunately, as social capital theory might predict, Path did indeed succeed in becoming the anti-Facebook: a network without enough users. Some businesses work best at scale, and if you believe that people want to accumulate social capital as efficiently as possible, putting a bound on how much they can earn is a challenging business model, as dark as that may be.

Copying some network's feature often isn’t sufficient if you can’t also copy its graph, but if you can apply the feature to some unique graph that you earned some other way, it can be a defensible advantage.

Most of these near clones have and will fail. The reason that matching the basic proof of work hurdle of an Status as a Service incumbent fails is that it generally duplicates the status game that already exists. By definition, if the proof of work is the same, you're not really creating a new status ladder game, and so there isn't a real compelling reason to switch when the new network really has no one in it.

The same way many social networks track keystone metrics like time to X followers, they should track the ROI on posts for new users. It's likely a leading metric that governs retention or churn. It’s useful as an investor, or even as a curious onlooker to test a social networks by posting varied content from test accounts to gauge the efficiency and fairness of the distribution algorithm.

graph-based social capital allocation mechanisms can suffer from runaway winner-take-all effects. In essence, some networks reward those who gain a lot of followers early on with so much added exposure that they continue to gain more followers than other users, regardless of whether they've earned it through the quality of their posts. One hypothesis on why social networks tend to lose heat at scale is that this type of old money can't be cleared out, and new money loses the incentive to play the game.

I can still remember posting the same photos to Flickr and Instagram for a while and seeing how quickly the latter passed the former in feedback. If I were an investor or even an employee, I might have something like a representative basket of content that I'd post from various test accounts on different social media networks just to track social capital interest rates and liquidity among the various services.

Instagram, despite not having any official reshare option, allows near unlimited hashtag spamming, and that allows for more deterministic, self-generated distribution. Twitter also isn't as great for spreading visual memes because of its stubborn attachment to cropping photos to maintain a certain level of tweet density per phone screen.

What changed Twitter, for me, was the launch of Favstar and Favrd (both now defunct, ruthlessly murdered by Twitter), these global leaderboards that suddenly turned the service into a competition to compose the most globally popular tweets.

It's true that as more people join a network, more social capital is up for grabs in the aggregate. However, in general, if you come to a social network later, unless you bring incredible exogenous social capital (Taylor Swift can join any social network on the planet and collect a massive following immediately), the competition for attention is going to be more intense than it was in the beginning. Everyone has more of an understanding of how the game works so the competition is stiffer.

[An aside about exogenous social capital: you might complain that your tweets are more interesting and grammatical than those of, say, Donald Trump (you're probably right!). Or that your photos are better composed and more interesting at a deep level of photographic craft than those of Kim Kardashian. The difference is, they bring a massive supply of exogenous pre-existing social capital from another status game, the fame game, to every table, and some forms of social capital transfer quite well across platforms. Generalized fame is one of them. More specific forms of fame or talent might not retain their value as easily: you might follow Paul Krugman on Twitter, for example, but not have any interest in his Instagram account. I don't know if he has one, but I probably wouldn't follow it if he did, sorry Paul, it’s nothing personal.]

Almost every social network of note had an early signature proof of work hurdle. For Facebook it was posting some witty text-based status update. For Instagram, it was posting an interesting square photo. For Vine, an entertaining 6-second video. For Twitter, it was writing an amusing bit of text of 140 characters or fewer. Pinterest? Pinning a compelling photo. You can likely derive the proof of work for other networks like Quora and Reddit and Twitch and so on. Successful social networks don't pose trick questions at the start, it’s usually clear what they want from you.

While you can outsource Bitcoin mining to a computer, people still mine for social capital on social networks largely through their own blood, sweat, and tears.

The creation of a successful status game is so mysterious that it often smacks of alchemy. For that reason, entrepreneurs who succeed in this space are thought of us a sort of shaman, perhaps because most investors are middle-aged white men who are already so high status they haven't the first idea why people would seek virtual status

Think of this essay as a series of strongly held hypotheses; without access to the types of data which i’m not even sure exists, it’s difficult to be definitive. As ever, my wise readers will add or push back as they always do.

Social capital is, in many ways, a leading indicator of financial capital, and so its nature bears greater scrutiny. Not only is it good investment or business practice, but analyzing social capital dynamics can help to explain all sorts of online behavior that would otherwise seem irrational.

Tips to increase Your SEO With a Social Media Strategy

The conundrum isn’t just that videos questioning the moon landing or the efficacy of vaccines are on YouTube. The massive “library,” generated by users with little editorial oversight, is bound to have untrue nonsense. Instead, YouTube’s problem is that it allows the nonsense to flourish. And, in some cases, through its powerful artificial intelligence system, it even provides the fuel that lets it spread.#lazy-img-336042387:before{padding-top:66.68334167083543%;}

The first week of class was pretty similar to most first weeks of a programs I have experienced. However, this program was a little more hectic due to the fact that we have so many programs trying to do so many different and connected things. The moment that stood out the most to me was how much work was accomplished in 8 short hours by the MTA changemakers, this was impressive and inspiring to me. I participated in a similar group last quarter. In that program we  had weeks to get the point that they got to in an afternoon.

One reason is that products are often designed in ways that make us act impulsively and against our better judgment. For example, suppose you have a big meeting at work tomorrow. Ideally, you want to spend some time preparing for it in the evening and then get a good night’s rest. But before you can do either, a notification pops up on your phone indicating that a friend tagged you on Facebook. “This will take a minute,” you tell yourself as you click on it. But after logging in, you discover a long feed of posts by friends. A few clicks later, you find yourself watching a YouTube video that one of them shared. As soon as the video ends, YouTube suggests other related and interesting videos. Before you know it, it’s 1:00 a.m., and it’s clear that you will need an all-nighter to get ready for the following morning’s meeting. This has happened to most of us.

losaportesdeseptiembresepodránpagarenelmesdeoctubre,yasísucesivamente

Summarization:When an original message is passed on,it is frequently compressed, focusing on the essence whileomitting unnecessary details.

This aspect has led some to claim practitioner research shares many qualities of social movements (e.g., Campano, 2009; Cochran-Smith & Lytle, 2009).

For literacy educators, consciousness of inequality is only the starting point for resistance, a basis for asking more immediatequestions: What happenswhen literacy classrooms are sites of activism? How do teachers work within and against the systems they are a part of to disrupt or challenge ideologies of social reproduction through the literacy curriculum? How does this involve more capacious understandings of the literate practices students bring to schools? What are the challenges teacher activists face when they strive to work within and against an educational system that is structured around normal curve ideologies? How might we re-envision the variance of student potentials, in a way that is not organized around a hierarchy of academic ability or essentialized notions of intelligence?

Social Media Marketing (SMM)

Overview of Learning Theories

Understanding Monetary Premiums in Programmable Value Networks

DFINITY, Near, Polkadot

Proyecto extensión y de responsabilidad social en CTe

sponsabilidad

Crucial to understanding the workings of power is an understandingof the nature of power in the fullness of its materiality. To restrict power’sproductivity to the limited domain of the “social,” for example, or tofigure matter as merely an end product rather than an active factor infurther materializations, is to cheat matter out of the fullness of its capacity.

But that post-digital lens asks us to look beyond the “twitter is a cesspool” argument.

Social media is not a thing that needs to be fixed. People connecting with people is a thing. Jerks are a thing. Jerks are not a digital problem. Jerks are a real-world problem that has been around for a long time. We need to get past the digital and fix our real-world jerk problem. And, as we go along, we have to think about how our systems help create those jerks.

But I actually think stock and flow is a useful metaphor for media in the 21st century. Here’s what I mean: Flow is the feed. It’s the posts and the tweets. It’s the stream of daily and sub-daily updates that reminds people you exist. Stock is the durable stuff. It’s the content you produce that’s as interesting in two months (or two years) as it is today. It’s what people discover via search. It’s what spreads slowly but surely, building fans over time.

The combination of state surveillance and its capitalist counterpart means that digital technology is separating the citizens in all societies into two groups: the watchers (invisible, unknown and unaccountable) and the watched. This has profound consequences for democracy because asymmetry of knowledge translates into asymmetries of power.

There’s also a robust ecosystem of tools to follow users, monitor site annotations etc.

Catch up by reading my last post of digital streams, campfires and gardens.

supported the aristocracy, from whom she benefited

hierarchical social order

For instance, an aborigine who possesses all of our basic sensory-mental-motor capabilities, but does not possess our background of indirect knowledge and procedure, cannot organize the proper direct actions necessary to drive a car through traffic, request a book from the library, call a committee meeting to discuss a tentative plan, call someone on the telephone, or compose a letter on the typewriter.

If you would like to comment on this story or anything else you have seen on BBC Culture, head over to our Facebook page or message us on Twitter.

I mean they only had two when I joined Ether and Bitcoin, but they were pretty selective compared to a lot of exchanges and I heard some good things from other friends who had been using it. So I trusted that.

And I realize that late. Um, but I still did get out at a reasonably okay time because I really like all my friends.Derek:00:59:32 I really use what my friends are saying on crypto

ah, and I've heard from a lot of traders, like it definitely is an evolving process.

So I followed that. I followed this one trader. He has 100,000 followers on twitter. He's just scalper uh, margin trader on Big Phoenix. Amazing. Gives amazing videos. Incredible. Uh, I follow him a lot. Um, I guess my style would be most closely to his, I think then definitely Rsi.

Yeah, so I do not have a background in coding, uh, and on on trading view, they have like a social, I really like their community. It's definitely a big community of like higher tier

eetups. I'm trying to really go to meetups and meet other people and I feel like during the bear market, the quality of the meetups really increases because the people that are actually really interested not just for the price before everything else are showing up.

Twitter is my go to and people post a news articles from like ccn from what does it coined, ask a bunch of these crypto news things and they're great. Uh, you know, I take them with a grain of salt because whatever, there's a lot of like fake news.

Um, yeah, it was definitely a on twitter before I really understood what ta was. And I would see people post all these charts and I would always just be taking their word for it. And you know, people post different types of charts and different layouts.

Uh, I'm on definitely on twitter, all scrolling through and guys and people post interesting theories.

uh, Discord is the best and telegram. Those two. Sometimes people will do their own members area by using like click funnels or something like that. Discord is the easiest because you can separate channels. Um, and it's free. Uh telegram. I've like specific groups just because they've built in functionality that usually triggers by phone or at least more as from an notification standpoint. Where sometimes it gets lost in Discord

Um, three commas had been tested by another people that I guess I was kind of following the social proof justification that enough people were in it so that made me more confident in using it.

I don't personally like blindly entering trades that...

will basically want to follow along with why they're notating that as a potential trade board or following it just to see how it plays out, uh, to basically use it as a learning

Most of it is based around talking to people who are more competent or just more comfortable in a specific trading strategy.

or that we're looking out for. Would need us to watch after a trade or to be looking out for a trade. Some of them have signals, like targets for traditional markets. They might have just mentioned, hey, if someone's running the group, they might've mentioned, hey, this is a point where I'm looking to enter short. Uh, so tell where they're looking to essentially place to stop, um, crypto groups Okay. Okay. Yeah, yeah. Okay. Uh, either injured but stop here. And then yourself targets are one, two, three, but it's less structured traditionally.

Uh, yeah, I'm in a few groups. There's a couple of the crypto focused, uh, the also have been just, I wouldn't say [inaudible], but have put more emphasis on, you know, since we're technical traders, there's a reason not to take advantage of, uh, the market opportunities and traditional as they pop up. So we've been focused mainly on just very few inverse etfs to short the s&p to short some major Chinese stocks, um, doing some stuff with, uh, oil, gas. And then there's some groups that I'm in that are specifically focused on just traditional, uh, that are broken up or categorized by what they're trading.

multiple and collective

“It seems like everything used to be something else, yes?”

#快如科技2019发布会# 聊天给钱、看新闻给钱、买东西给钱、玩游戏给钱……在聊天宝，几乎干啥都给钱。

Seneca stresses the point: the practice of the self involves reading, for one could not draw everything from ones own stock or arm oneself by oneself with the principles of reason that are indispensable for self-conduct: guide or example, the help of others is necessary

Do we want technology to keep giving more people a voice, or will traditional gatekeepers control what ideas can be expressed?

“I’m always genuinely happy to interact with listeners,” he said, “and since some prefer social media, I use it. But my (thus far only modestly effective) strategy has been to try and produce enduring content and let it speak for itself, rather than posting ephemera on Facebook and Twitter at regular intervals.”

This distinction enlightens the reading of thegrowing social media and mass emergency lit-erature for three reasons. First, without it, thisnew literature risks undoing decades of work bysocial scientists who have dismantled the mythsof disaster, with a dominant discourse thatincludes panic and unlawful behavior by victims.But in disasters arising from natural hazards, weknow such behaviors are not typical. Massemergencies arising from criminal behavior canhave a much wider range of collective behaviorbecause the source of the hazard is unknown,unpredictable and perhaps more imminentlydangerous

Misinforma-tion arising from natural hazards or exogenousevents might be greater in kind, but less inimpact, with fewer in-common readers as it tra-verses a network that can move a little slowerthan it might in criminal mass emergency events.Because the problem-solving tends to be morediffuse in exogenous events, the same messagemight not reach enough people; in other words,the misinformation might also be thinly diffused.Misinformation in such events is more likely toage out, or not be relevant to enough locations topose a big threat—in other words, all informationin thefirst place is less likely to be categoricallycorrect or incorrect, and as such, it is hard tofindas much value in pursuing the threat of misin-formation in such situations.

Wefindendogeneityandexogeneityof haz-ards to be a meaningful distinction in socialmedia in mass emergencies research, one thatreadily clarifies for a range of researchers andreaders who are outside the social science disci-pline. Just as events that arise from exogenousand endogenous hazards differently impact legal,political, health, and other societal systems, so dothey differently impact social media behavior.8With exogenous events, the culprit is beyondreach, and unstoppable. With endogenous agents,the suspect lies within. Therefore, organizingfeatures of the communication are distinctlydifferent, because the source(s) of the problem(s),the nature of their solutions,and the ability forthe perception of the collective control of theoutcomeare different. Online participation focu-ses on in-common salient problems when theyare present; when the problems are lessin-common and must be addressed in parallel, thecrowd organizes in many smaller groupings and,often endogeneity and exogeneity of hazardspredicts this (Palen & Anderson,2016).

We make this point because we worrythat the very idea of“social media”flattens themany meanings of“crisis”and“emergency”forwhich social sciencefields have worked to pro-vide insight. For example, because Twitter orFacebook are available for use in any kind ofcrises, it is easy to make these applications thesalient concern, and ask“Is Twitter or Facebookbetter in emergency response?,”rather thanquestion how the very nature of emergencyresponse might beg for different forms of infor-mation seeking and reporting. We refer to thisflattening of communication medium and hazardas thesocial media and crisis confound.

Our extensions also have implications for theories ontrust.

Therefore, training should focus on learning how toquickly recognize volunteers’ volition in participating inan emergent group, the tasks they might engage in, andthe support they might need to carry out those tasks.Such training could also help people to recognize thebenefits and dangers of generalized trust. It could alsohelp people to quickly evolve a coordination mecha-nism that does not rely on what people know, but oncompiling and communicating a narrative of the actionsthat volunteers take, so that others are able to assess forthemselves what actions they could take to help.

ur examination suggests that by expandingthe context in which TMS theory is applied to includeemergent response groups, insights can be gained intotheir internal dynamics. The three indicators of the levelof development of a TMS provide a useful frameworkfor organizing these insights in the exhibit.

The urgency of time may make it too onerous forthe extra effort of articulating actions as they are beingperformed, yet most emergency response requires somecommunication.

Explicitly articulated narratives mayalso make clearer that multiple sequences of actions maybe occurring simultaneously, thus resolving role conflictsby allowing multiple ways to accomplish a task

Emergent response groups may also use a mechanismof creating a community narrative (Boland and Tenkasi1995), which is a running narrative of the actions takenand not taken, the decisions made, and the theories inuse. Narratives do not represent a single shared under-standing of a domain; rather they represent the mul-tiplicity of events and actions a community is taking,as members are taking them. Narratives may be articu-lated explicitly or understood implicitly.

Whenemergent response groups first come together, membersare likely not to ask one another about who knows what;instead, they are likely to ask about what is knownabout the situation and about the actions taken thus far(Dyer and Shafer 2003, Hale et al. 2005). The cogni-tive structure that they develop for the group centersnot around people, but on action-based scenarios thateither have been or might be carried out. These scenariosinclude decisions, actions, knowledge, events, and feed-back (Vera and Crossan 2005).

On the surface, the lack of sta-ble membership suggests that a shared mental modelmay not be viable or even desired in emergent responsegroups. Time may be too precious to seek consensus onevents and actions, and agreements may make the groupless flexible to accommodate to changing inputs.

hus, we believe challenges occur in all three indica-tors of the level of development of a TMS—expertisespecialization, credibility, and expertise coordination—requiring a need to consider extending theorizing abouteach indicator for emergent response groups.

Moreland and Argote(2003) suggest that the dynamic conditions under whichthese groups form and work together are likely to havenegative effects on the development of transactive mem-ory.

Research on TMS has identified three indicators of thelevel of development of a TMS (Lewis 2003, Morelandand Argote 2003):1.Memory (or expertise) specialization:the tendencyfor groups to delegate responsibility and to specialize indifferent aspects of the task;2.Credibility:beliefs about the reliability of mem-bers’ expertise; and3.Task (or expertise) coordination:the ability of teammembers to coordinate their work efficiently based ontheir knowledge of who knows what in the group.The greater the presence of each indicator, the more de-veloped the TMS and the more valuable the TMS is forefficiently coordinating the actions of group members.

A TMS can be thoughtof as a network of interconnected individual memorysystems and the transfer of knowledge among them(Wegner 1995). Individuals who are part of a TMSassume responsibility for different knowledge domains,and rely on one another to access each other’s expertiseacross domains. Expertise is defined in the TMS litera-ture to broadly include the know-what, know-how, andknow-why of a knowledge domain (Quinn et al. 1996),what Blackler (1995) refers to as embodied competen-cies. Expertise specialization, then, reduces the cognitiveload of each individual and the amount of redundantknowledge in the group, while collectively providingthe dyad or group access to a larger pool of knowl-edge. What makes transactive memory transactive arethe communications (called transactions) among individ-uals that make possible the codifying, storing, retrieving,and updating of information from individual memorysystems. For transactive memory to function effectively,individuals must have a shared conceptualization of whoknows what in the group.

TMS theory, a theoryof group-level cognition, explains how people in collec-tives learn, store, use, and coordinate their knowledge toaccomplish individual, group, and organizational goals.It is a theory about how people in relationships, groups,and organizations learn who knows what, and use thatknowledge to decide who will do what, resulting in moreefficient and effective individual and collective perfor-mance.

The urgency of the situation meansthat the objective of coordination is to achieve minimallyacceptable and timely action, even when more effec-tive responses may be feasible—but would take longerand use more resources.

hese characteristics require thatemergent response groups adopt specific approaches forknowledge coordination. One such approach commonlydocumented in studies of such groups is their use ofa learn-by-doing (versus decision making) action-basedmodel of coordinated problem solving, in which sensemaking and improvisation are the norm rather than theexception

isaster researchers havedefinedemergent response groupsas collectives of indi-viduals who use nonroutine resources and activities toapply to nonroutine domains and tasks, using nonroutineorganizational arrangements (Bigley and Roberts 2001,Drabek et al. 1981, Drabek 1986, Drabek and McEntire2003, Kreps 1984, Tierney et al. 2001).

Disasters have wideimplications for expertise coordination because the pre-conditions known to facilitate expertise coordination arelimited or nonexistent in disaster response. Such precon-ditions include but are not limited to, a shared goal; aclear reward structure; known group membership, exper-tise, and skills to accomplish the task; and time to sharewho knows what.

Although the con-ventional indicators of efficient coordination—expertisespecialization, credibility in expertise, and coordinationof expertise—are relevant in disaster response, disasterspresent a unique operational environment. Disasters are“events, observable in time and space, in which societiesor their subunits (e.g., communities, regions) incur phys-ical damages and losses and/or disruption of their routine

Experimentation, the third affordance, refers to theuse of technology to encourage participants to try outnovel ideas.

Recombinability refers to forms of technology-enabled action where individual contributors build oneach others’ contributions.

Reviewability refers to the enactment of technology-enabled new forms of working in which participantsare better able to view and manage the content offront and back narratives over time (West and Lakhani2008). By allowing participants to easily and collab-oratively review a range of ideas, technology-affordedreviewability helps the community respond to tensionsin disembodied ideas, because the reviews can provideimportant contextual information for building on others’ideas.

Technology platforms used by OCs can providea number of affordances for knowledge collabora-tion, three of which we mention here: reviewability,recombinability, and experimentation. These affordancesevolve as new participants provide new ways to use thetechnologies, new social norms are developed around thetechnology affordances, and new needs for fresh affor-dances are identified.

Given the fluid nature of OCsand their rapidly evolving technology platforms, and inline with calls to avoid dualistic thinking about tech-nology (Leonardi and Barley 2008, Markus and Silver2008, Orlikowski and Scott 2008), we suggest technol-ogy affordance as a generative response, one that viewstechnology, action, and roles as emergent, inseparable,and coevolving. Technology affordances offer a relationalperspective on human action, where neither the technol-ogy nor the actor is dominant in the sense that the tech-nology does not define what is possible for the actor todo, nor is the actor free from the limitations of the tech-nological environment. Instead, possibilities for actionemerge from the reciprocal interaction between actor andartifact (Gibson 1979, Zammuto et al. 2007). Thus, anaffordance perspective focuses on the organizing actionsthat are afforded by technology artifacts.

third response to manage tensions is to promoteknowledge collaboration by enacting dynamic bound-aries. In social sciences, although boundaries divide anddisintegrate collectives, they also coordinate and inte-grate social action (Bowker and Star 1999, Lamont andMolnár 2002). Fluidity brings the need for flexible andpermeable boundaries, but it is not only the propertiesof the boundaries but also their dynamicity that helpmanage tensions.

We have observed in OCs that no single narrative isable to keep participants informed about the current stateof the OC with respect to each tension. These commu-nities seem to develop two different types of narratives.Borrowing from Goffman (1959), we label the two nar-ratives the “front” and the “back” narratives.

Based on our collective research on to date, we haveidentified that as tensions ebb and flow, OCs use (or,more precisely, participants engage in) any of the fourtypes of responses that seem to help the OC be gen-erative. The first generative response is labeledEngen-dering Roles in the Moment. In this response, membersenact specific roles that help turn the potentially negativeconsequences of a tension into positive consequences.The second generative response is labeledChannelingParticipation. In this response, members create a nar-rative that helps keep fluid participants informed ofthe state of the knowledge, with this narrative havinga necessary duality between a front narrative for gen-eral public consumption and a back narrative to airthe differences and emotions created by the tensions.The third generative response is labeledDynamicallyChanging Boundaries. In this response, OCs changetheir boundaries in ways that discourage or encouragecertain resources into and out of the communities at cer-tain times, depending on the nature of the tension. Thefourth generative response is labeledEvolving Technol-ogy Affordances. In this response, OCs iteratively evolvetheir technologies in use in ways that are embedded by,and become embedded into, iteratively enhanced socialnorms. These iterations help the OC to socially and tech-nically automate responses to tensions so that the com-munity does not unravel.

Tension 5: Positive and Negative Consequences ofTemporary ConvergenceThe classic models of knowledge collaboration in groupsgive particular weight to the need for convergence. Con-vergence around a single goal, direction, criterion, pro-cess, or solution helps counterbalance the forces ofdivergence, allowing diverse ideas to be framed, ana-lyzed, and coalesced into a single solution (Couger 1996,Isaksen and Treffinger 1985, Osborn 1953, Woodmanet al. 1993). In fluid OCs, convergence is still likelyto exist during knowledge collaboration, but the conver-gence is likely to be temporary and incomplete, oftenimplicit, and is situated among subsets of actors in thecommunity rather than the entire community.

ension 2: Positive and Negative Consequencesof TimeA second tension is between the positive and negativeconsequences of the time that people spend contribut-ing to the OC. Knowledge collaboration requires thatindividuals spend time contributing to the OC’s virtualworkspace (Fleming and Waguespack 2007, Lakhani andvon Hippel 2003, Rafaeli and Ariel 2008). Time has apositive consequence for knowledge collaboration. Themore time people spend evolving others’ contributedideas and responding to others’ comments on thoseideas, the more the ideas can evolve

We argue that it is the fluidity, the tensions that flu-idity creates, and the dynamics in how the OC respondsto these tensions that make knowledge collaboration inOCs fundamentally different from knowledge collabora-tion in teams or other traditional organization structures.

As fluctuations in resource endowments arise overtime because of the fluidity in the OC, these fluctua-tions in resources create fluctuations in tensions, makingsimple structural tactics for managing tensions such ascross-functional teams or divergent opinions (Sheremata2000) inadequate for fostering knowledge collaboration.As complex as these tension fluctuations are for the com-munity, it is precisely these tensions that provide thecatalyst for knowledge collaboration. Communities thatthen respond to these tensions generatively (rather thanin restrictive ways) will be able to realize this potential.Thus, it is not the simple presence of resources that fos-ter knowledge collaboration, but rather the presence ofongoing dynamic tensions within the OC that spur thecollaboration. We describe these tensions in the follow-ing section

Fluidity requires us to look at the dynamics—i.e., thecontinuous and rapid changes in resources—rather thanthe presence or the structural form of the resources.Resources may flow from outside the OC (e.g., pas-sion) or be internally generated (e.g., convergence), sub-sequently influencing and influenced by action (Feldman2004). Resources come with the baggage of having bothpositive and negative consequences for knowledge col-laboration, creating a tension within the community inhow to manage the positive and negative consequencesin a manner similar to the one faced by ambidextrousorganizations (O’Reilly and Tushman 2004).

However, failure to examine the critical roleof even the inactive participants in the functioning of thecommunity is to ignore that passive (and invisible) par-ticipation may be a step toward greater participation, aswhen individuals use passivity as a way to learn aboutthe collective in a form of peripheral legitimate partici-pation (Lave and Wenger 1991, Yeow et al. 2006).

Fluidity recognizes the highly flexible or permeableboundaries of OCs, where it is hard to figure out whois in the community and who is outside (Preece et al.2004) at any point in time, let alone over time. Theyare adaptive in that they change as the attention, actions,and interests of the collective of participants change overtime. Many individuals in an OC are at various stagesof exit and entry that change fluidly over time.

We argue that fluid-ity is a fundamental characteristic of OCs that makesknowledge collaboration in such settings possible. Assimply depicted in Figure 1, we envision OCs as fluidorganizational objects that are simultaneously morphingand yet retaining a recognizable shape (de Laet and Mol2000, Law 2002, Mol and Law 1994).

a growing consensus on factors that moti-vate people to make contributions to these communities,including motivational factors based on self-interest (e.g.,Lakhani and von Hippel 2003, Lerner and Tirole 2002,von Hippel and von Krogh 2003), identity (Bagozzi andDholakia 2006, Blanchard and Markus 2004, Ma andAgarwal 2007, Ren et al. 2007, Stewart and Gosain2006), social capital (Nambisan and Baron 2010; Waskoand Faraj 2000, 2005; Wasko et al. 2009), and socialexchange (Faraj and Johnson 2011).

For instance, knowledge collaboration in OCscan occur without the structural mechanisms tradition-ally associated with knowledge collaboration in orga-nizational teams: stable membership, convergence afterdivergence, repeated people-to-people interactions, goal-sharing, and feelings of interdependence among groupmembers (Boland et al. 1994, Carlile 2002, Dougherty1992, Schrage 1995, Tsoukas 2009).

Knowledge collaboration is defined broadly as thesharing, transfer, accumulation, transformation, andcocreation of knowledge. In an OC, knowledge collab-oration involves individual acts of offering knowledgeto others as well as adding to, recombining, modify-ing, and integrating knowledge that others have con-tributed. Knowledge collaboration is a critical elementof the sustainability of OCs as individuals share andcombine their knowledge in ways that benefit them per-sonally, while contributing to the community’s greaterworth (Blanchard and Markus 2004, Jeppesen andFredericksen 2006, Murray and O’Mahoney 2007, vonHippel and von Krogh 2006, Wasko and Faraj 2000).

Online communities (OCs) are open collectives of dis-persed individuals with members who are not necessarilyknown or identifiable and who share common inter-ests, and these communities attend to both their indi-vidual and their collective welfare (Sproull and Arriaga2007).

The situated and emergent nature of coordinationdoes not imply that practices are completely uniqueand novel. On the one hand, they vary accordingto the logic of the situation and the actors present.On the other hand, as seen in our categorizationof dialogic coordination, they follow a recognizablelogic and are only partially improvised. This tensionbetween familiarity and uniqueness of response is atthe core of a practice view of work (Orlikowski 2002).

Recently, Brown and Duguid (2001, p. 208) sug-gested that coordination of organizational knowledgeis likely to be more challenging than coordination ofroutine work, principally because the “elements to becoordinated are not just individuals but communitiesand the practices they foster.” As we found in ourinvestigation of coordination at the boundary, signif-icant epistemic differences exist and must be recog-nized. As the dialogic practices enacted in responseto problematic trajectories show, the epistemic dif-ferences reflect different perspectives or prioritiesand cannot be bridged through better knowledge

nature point to the limitations of a structuralist viewof coordination. In the same way that an organi-zational routine may unfold differently each timebecause it cannot be fully specified (Feldman andPentland 2003), coordination will vary each time.Independent of embraced rules and programs, therewill always be an element of bricolage reflecting thenecessity of patching together working solutions withthe knowledge and resources at hand (Weick 1993).Actors and the generative schemes that propel theiractions under pressure make up an important com-ponent of coordination’s modus operandi (Bourdieu1990, Emirbayer and Mische 1998).

These practices are highly situated, emer-gent, and contextualized and thus cannot be prespec-ified the way traditional coordination mechanismscan be. Thus, recent efforts based on an information-processing view to develop typologies of coordina-tion mechanisms (e.g., Malone et al. 1999) may be tooformal to allow organizations to mount an effectiveresponse to events characterized by urgency, novelty,surprise, and different interpretations.

Our findings also point to a broader divide in coor-dination research. Much of the power of traditionalcoordination models resides in their information-processing basis and their focus on the design issuessurrounding work unit differentiation and integra-tion. This design-centric view with its emphasis onrules,structures,andmodalitiesofcoordinationislessuseful for studying knowledge work.