Resistance

I’ve been thinking lately of John Steinbeck’s The Moon is Down. It’s a tale of resistance. The story of how a a small town is swiftly conquered by an overwhelming force whose power is so absolute there is nothing the people can do to resist.

Then slowly, steadily, something changes. Resistance builds. The people who have been stripped of all power find that it is in fact their conquerors who have no power at all. In the slow fight for freedom; it is the conquered who will always win.

I excerpt a long passage below:

The days and weeks dragged on, and the months dragged on.  The snow fell and melted and fell and melted and finally fell and stuck.  The dark buildings of the little town wore bells and hats and eyebrows of white and there were trenches through the snow to the doorways.  In the harbor the coal barges came empty and went away loaded, but the coal did not come out of the ground easily.  The good miners made mistakes.  They were clumsy and slow.  Machinery broke and took a long time to fix.  The people of the conquered country settled in a slow, silent, waiting revenge.  The men who had been traitors, who had helped the invaders – and many of them believed it was for a better state and an ideal way of life – found that the control they took was insecure, that the people they had known looked at them coldly  and never spoke.

And there was death in the air, hovering and waiting.  Accidents happened on the railroad, which clung to the mountains and connected the little town to the rest of the nation.  Avalanches poured down on the tracks and rails were spread.  No train could move unless the tracks were first inspected.  People were shot in reprisal and it made no difference.  Now and then a group of young men escaped and went to England.  And the English bombed the coal mine and did some damage and killed some of both their friends and their enemies.  And it did no good.  The cold hatred grew with the winter, the silent, sullen hatred, the waiting hatred.  The food supply was controlled – issued to the obedient and withheld from the disobedient – so that the whole population turned coldly obedient.  There was a point that food could not be withheld, for a starving man cannot mine coal, cannot lift and carry.  And the hatred was deep in the eyes of the people, beneath the surface.

Now it was that the conqueror was surrounded, the men of the battalion alone among silent enemies, and no man might relax his guard even for a moment.  If he did, he disappeared, and some snowdrift received his body.  If he went alone to a woman, he disappeared and some snowdrift received his body.   If he drank, he disappeared.  The men of the battalion could sing only together, could dance only together, and dancing gradually stopped and the singing expressed a longing for home.  Their talk was of friends and relatives who loved them and their longings were for warmth and love, because a man can be a soldier for only so many hours a day and for only so many months in a year, and then he wants to be a man again, wants girls and drinks and music and laughter and ease, and when these are cut off, they become irresistibly desirable.

And the men thought always of home.  The men of the battalion came to detest the place they had conquered, and they were curt with the people and the people were curt with them, and gradually a little fear began to grow in the conquerors, a fear that it would never be over, that they could never relax or go home, a fear that one day they would crack and be hunted through the mountains like rabbits, for the conquered never relaxed their hatred.  The patrols, seeing lights, hearing laughter, would be drawn as to a fire, and when they came near the laughter stopped, the warmth went out, and the people were cold and obedient.  And the soldiers, smelling warm food from the little restaurants, went in and ordered the warm food and found that it was oversalted or overpeppered.

Then the soldiers read the news from home and from the other conquered countries, and the news was always good, and for a little while they believed it, and then after a while they did not believe it any more.  And every man carried in his heart the terror.  “If home crumbled, they would not tell us, and then it would be too late.  These people will not spare us.  They will kill us all.”  They remembered stories of their men retreating through Belgium and retreating out of Russia.  And the more literate remembered the frantic, tragic retreat from Moscow, when every peasant’s pitchfork tasted blood and the snow was rotten with bodies.

And they knew when they cracked, or relaxed, or slept too long, it would be the same here, and their sleep was restless and their days were nervous.  They asked questions their officers could not answer because they did not know.  They were not told, either.  They did not believe the reports from home, either.

Thus it came about that the conquerors grew afraid of the conquered and their nerves wore thin and they shot at shadows in the night.  The cold, sullen silence was with them always.  Then three soldiers went insane in a week and cried all night and all day until they were sent away home.  And others might have gone insane if they had not heard that mercy deaths awaited the insane at home, and a mercy death is a terrible thing to think of.  Fear crept into the men in their billets and it made them sad, and it crept into the patrols and it made them cruel.

The year turned and the nights grew long.  It was dark at three o’clock in the afternoon and not light again until nine in the morning.  The jolly lights did not shine out on the snow, for by law every window must be black against the bombers.  And yet when the English bombers came over, some light always appeared near the coal mine.  Sometimes the sentries shot a man with a lantern and once a girl with a flashlight.  And it did no good.  Nothing was cured by the shooting.

And the officers were a reflection of their men, more restrained because their training was more complete, more resourceful because they had more responsibility, but the same fears were a little deeper buried in them, the same longings were more tightly locked in their hearts.  And they were under a double strain, for the conquered people watched them for mistakes and their own men watched them for weakness, so that their spirits were taut to the breaking point.  The conquerors were under a terrible spiritual siege and everyone knew, conquered and conquerors, what would happen when the first crack appeared.

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Demographic bias in social media language analysis

Before the break, I had the opportunity to hear Brendan O’Connor talk about his recent paper with Su Lin Blodgett and Lisa Green: Demographic Dialectal Variation in Social Media: A Case Study of African-American English.

Imagine an algorithm designed to classify sentences. Perhaps it identifies the topic of the sentence or perhaps it classifies the sentiment of the sentence. These algorithms can be really accurate – but they are only as good as the corpus they are trained on.

If you train an algorithm on the New York Times and then try to classify tweets, for example, you may not have the kind of success you might like – the language and writing style of the Times and a typical tweet being so different.

There’s a lot of interesting stuff in the Blodgett et al. paper, but perhaps most notable to me is their comparison of the quality of existing language identification tools on tweets by race. They find that these tools perform poorly on text associated with African Americans while performing better on text associated with white speakers.

In other words, if you got a big set of Twitter data and filtered out the non-English tweets, that algorithm would disproportionally identify tweets from black authors as not being in English, and those tweets would then be removed from the dataset.

Such an algorithm, trained on white language, has the unintentional effect of literally removing voices of color.

Their paper presents a classifier to eliminate that disparity, but the study is an eye-opening finding – a cautionary tail for anyone undertaking language analysis. If you’re not thoughtful and careful in your approach, even the most validated classifier may bias your data sample.

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Power and Social Capital

This semester, I’m taking a class on social networks for which I recently read Sandra Susan Smith’s 2005 article “Don’t put my name on it”: Social Capital Activation and Job Finding Assistance among the Black Urban Poor.

I haven’t read a lot of formal Sociology papers, so I was a little taken aback by the articles lack of overt social justice norms while tackling a deep social justice issue, but the paper as a whole is a really interesting read.

Smith sets up the article by describing a common explanation of persistent joblessness among the black urban poor: social isolation, or, in network terms, ‘deficiencies in access to mainstream ties and institutions.” Her work, though, finds a different explanation: it’s not that poor urban blacks don’t have access to resources for finding jobs, it’s that there are functional deficiencies of their job referral networks.

More specifically, over 80% of the respondents in Smith’s study “expressed concern that job seekers in their networks were too unmotivated to accept assistance, required great expenditures of time and emotional energy, or acted too irresponsibly on the job, thereby jeopardizing contacts’ own reputations in the eyes of employers and negatively affecting their already-tenuous labor market prospects.”

There’s a simple way of reading this article which doesn’t delve deeply into the social justice discrepancy found by the study. Such a reading indicated that there is simply a difference between experiences, that “social capital deficiencies of the black urban poor may have less to do with deficiencies in access…[and] more to do with functional deficiencies – the disinclination of potential job contacts to assist to assist when given the opportunity to do so, not because they lack information or the ability to influence hires, but because they perceive pervasive untrustworthiness among their job-seeking ties and choose not to assist.”

But the root of these functional deficiencies are worth digging into. Why do they exist? Where do the come from? Smith doesn’t go into the detail in this paper, though she does get to an important aspect of it near the end of the paper:

Resembling the the distrusting job contacts described in this study, employers expected from black job seekers, especially males, tardiness and absenteeism, unreliability, and an unwillingness to work when on the job. Furthermore, they believed that probability of theft, cursing, fighting, and disrespecting authority were greatly enhanced with black hires relative to other racial and ethnic groups.

In other words, people declined to provide support to their job-seeking contacts not necessarily directly because they perceived those people to be lazy or too ‘ghetto’ in the words of the paper – but because they thought their employer might perceive the job-seeker as such.

Smith’s whole study is done among the black urban poor – people’s who’s job stability is tenuous and who rely heavily upon their employer’s goodwill. Recommending a bad employee presents a significant risk – a risk which is amplified by an employer’s negative stereotypes.

Smith uses the language of ‘functional deficiencies,’ but what’s missing from this discussion in an analysis of power, of employer’s ability to set the norms and threaten sanctions if those norms are violated.

John Gaventa argues that “power serves to create power. Powerlessness serves to re-enforce powerlessness. Power relationships, once established, are self-sustaining.”

It is the self-sustaining nature of those power relationships which we see in Smith’s study: if there are functional deficiencies in the social capital of poor urban blacks, it is because power made them so, and power re-enforces them

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Dreams of Union, Days of Conflict

At last week’s National Communication Association (NCA) annual conference, Penn State’s Kirt Wilson gave a moving lecture on Dreams of Union, Days of Conflict: Communicating Social Justice and Civil Rights Memory in the Age of Obama.

Responding to the “civic calling” theme of this year’s conference, Wilson praised the urged to get involved, but cautioned that we must do so wisely – first understanding “the nature of the society we are called to,” and critically interrogating the civic actions we take on its behalf.

We all know that our society is not perfect – indeed, that is why we so acutely feel a civic calling; a need to engage in the hard work of democratic living. But even with the need for such a  “process-model” utopia, as Erin McKenna calls it, the entrenched inequities of our society require more than a moderate amount of collective civic work.

Wilson pointed to the innovative activism of Black Lives Matter, which seeks not only to ameliorate an immediate problem, but to fundamentally disrupt the paradigm which has supported and normalized the perpetual murder of black people.

Wilson quoted Fredrick Douglass: “Slavery has been fruitful in giving itself names…and it will call itself by yet another name; and you and I and all of us had better wait and see what new form this old monster will assume, in what new skin this old snake will come forth next.”

Black slavery still exists today, Wilson argued, but we call it by other names. The school-to-prison pipeline; the new Jim Crow; police-community relations.

When we act, when we respond to the civic calling of our times, we must do so with a critical eye to the institutions which shape our society and the how our actions will affect them.

Black Lives Matter has come under fire for the disruptive nature of their protests; for breaking with the protest approach of their 1960s peers.

But Wilson made a compelling argument for that shift in strategy. The civil rights movement made tremendous advances, but it did not end the insidious remnants of slavery and oppression. Slavery only changed its name.

The only way to truly change this institutionalized oppression is to disrupt the system, to change the paradigm.

Wilson argued that the radicals of the 60s “marched because the only life affirming response to death and to slavery is to resist.” Today’s young activists organize out of a similar need.

“Black life matters,” Wilson said, “because people are dead and they didn’t have to die. And more are going to die tomorrow.”

That is why we resist.

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On Calls for Unity and Disturbing Appointments

In his election night victory speech, Donald Trump took on a more moderate tone, proclaiming: “I pledge to every citizen of our land that I will be president for all Americans, and this is so important to me. For those who have chosen not to support me in the past, of which there were a few people. . ..I’m reaching out to you for your guidance and your help so that we can work together and unify our great country.”

The Democratic party also took the high road – conceding the election even though Clinton received at least a million more votes than Trump. There were calls for unity and respectful meetings between the president and the president-elect. While some chose to take to the street in “Not My President” protests, the resounding message from the Democratic establishment was clear: Democrats have a civic duty to give the president-elect the benefit of the doubt.

And perhaps we did, but as the work of his transition team gets underway Trump has made it clear what kind of President he will be.

Perhaps Representative Katherine Clark put it best when she wrote: “A ‘President for all Americans’ doesn’t appoint an anti-Semitic, racist, homophobic misogynist as senior advisor.”

I’ve heard from a lot of Trump supporters that his dramatic campaign rhetoric really was just rhetoric. They don’t really expect him to build a wall or undertake any of the more troubling policy proposals. Candidate Trump wasn’t as terrifying as liberals thought because his campaign  commitments weren’t intended to be taken literally.

But even if this argument allays an impression of Trump as a bigot, the appointment of Stephen Bannon as chief White House strategist and senior counselor cannot be so easily explained away. As chairman of the alt-right Breitbart News, Bannon has given a voice and a platform to the neo-nazis and extremists of America.

His appointment is cause for grave concern.

There are many great articles detailing Bannon’s more serious flaws, but I’ll quote here from the National Review, a “conservative weekly journal of opinion”:

The Left, with its endless accusations of “racism” and “xenophobia” and the like, has blurred the line between genuine racists and the millions of Americans who voted for Donald Trump because of a desire for greater social solidarity and cultural consensus. It is not “racist” to want to strengthen the bonds uniting citizens to their country

But the alt-right is not a “fabrication” of the media. The alt-right is a hodgepodge of philosophies that, at their heart, reject the fundamental principle that “all men are created equal, endowed by their creator with certain unalienable rights.” The alt-right embraces an ethno-nationalism that has its counterparts in the worst of the European far-right…

..The problem is not whether Bannon himself subscribes to a noxious strain of political nuttery; it’s that his de facto endorsement of it enables it to spread and to claim legitimacy, and that what is now a vicious fringe could, over time, become mainstream…No, Steve Bannon is not Josef Goebbels. But he has provided a forum for people who spend their days photoshopping pictures of conservatives into ovens.

This is why I find the appointment of Bannon so horrifying. When true conservatives agree that this is a disconcerting turn of events, it’s pretty clear that something is wrong. Our republic truly is in danger.

Now is indeed a time for unity; but not the unity of blindly supporting the President-Elect. It’s a time for liberals and conservatives alike to unite in denouncing hate in all its forms; of making it clear in no uncertain terms that equality and respect for all people are core American values on which our country will not compromise.

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Exit, Voice, and Presidential Elections, Part II

Back in February, I wrote: If elections don’t go the way we like, it shouldn’t be cause to flee, but rather a call to action: our voices would be needed more than ever.

I feel its important to repeat this as comments about leaving the country become more common. Indeed, the Canadian immigration website crashed as election results came in Tuesday night.

Albert O. Hirschman argues that in any interaction, an individual has there options: exit, voice, or loyalty.

Given the rhetoric which came out of the Trump campaign, there are many with good reason to fear for their safety and who may view exit as the only reasonable option. But for a lot of people – for me, for example – I am relatively privileged enough that in practical terms a Trump presidency will mean little more than a few years of disgust coupled with good Alec Baldwin bits.

For me, I think, exit is not a reasonable option – I have a civic duty to stay and fight, to exercise voice in shaping the future of American.

Of course, how one should exercise voice is a different conversation all together.

Should we try for unity or resist from the beginning? Should we wait until there are specific egregious actions we need to oppose, or should we fight now, chanting ‘not my president’ and urging the electoral college to vote differently?

Personally, the later approaches make me uncomfortable – I was distraught by anti-Obama protests which questioned the legitimacy of his presidency and it feels hypocritical to express similar sentiments for someone else. But I’m glad to see these questions being asked and to hear these conversations taking place within the progressive community as we all try to make sense of the world we have found ourselves in.

I have also been thinking a lot about how to be a better ally in the years ahead.  I write a lot about building bridges across our differences and listening to – and trying to understand – people with different perspective from us.

I do think that work is critically important, but it can’t be overlooked that there are fundamental inequities in those opportunities: it’s hard to have a conversation across difference when the person you’re talking to espouses hate for everything you are.

I’ve heard a lot of people saying that they feel like they woke up yesterday as strangers in their own country. It’s a feeling that many of us remember from the election of 2000. And it’s a feeling I heard echoed by conservatives in 2008.

But it’s also a feeling I heard from many people of color when Mike Brown was murdered, or when the Baltimore police officers involved in the death of Freddie Gray were acquitted, or following any of the many, many incident which seemed to say clearly: your life doesn’t matter and this country is not built for you.

And that’s just an insane reality to live in. The idea that at any given time large portions of the country feel disempowered, discounted, and disenfranchised; that some large group of people will always feel like strangers in their own land.

Months ago, a Trump supporter told me that she was miserable under Obama and that it was the Republican party’s “turn.” I may want to find that a questionable sentiment, but I also can’t deny I felt something similar after the George W. Bush presidency. Republicans had a go, and now it was our turn.

In the moment, these emotions and perspectives are reasonable and valid…but this is no way to run a country. There are no “turns.” We can’t just continue to tug-o-war the country, growing more and more polarized as we go.

We need to find ways to work together.

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Humanistic Data Visualization

Yesterday, I participated in “Visualizing Text as Data,” the inaugural discussion series from Northeastern’s NULab for Text, Maps, and Networks. We discussed Data Visualization in Sociology, by Kieran Healy and James Moody and Humanities Approaches to Graphical Display, by Johanna Drucker, though most of the conversation focused on the piece by Drucker.

Drucker writes:

…Graphical tools are a kind of intellectual Trojan horse, a vehicle through which assumptions about what constitutes information swarm with potent force. These assumptions are cloaked in a rhetoric taken wholesale from the techniques of the empirical sciences that conceals their epistemological biases under a guise of familiarity. So naturalized are the Google maps and bar charts of generated from spread sheets that they pass as unquestioned representations of “what it.”

Data visualizations – just like statical techniques – are an interpretation of the data, not a realization of the data. In the statistical world, there are known problematic techniques such as p-hacking where you find something significant only because you tried so many thing something (randomly) had to be significant. This is part of the art of data analysis – data fundamentally needs to be interpreted, but we should always be clear on what we’re interpreting, what assumptions we’re making in that interpretation, and what biases go into that interpretation.

Using a humanist lens, Drucker seems to apply a similar argument to visualizations. We are too accustomed to taking a visual representation of data as a ground Truth of what that data can tell us and to unaccustomed to thinking of visualization as a interpretation.

That’s not to say that visualization has no purpose, or that the fact that visualizations are interpretation is irreparably problematic.

There’s a great classic example of from Francis Anscombe – Anscombe’s quartet, as it’s appropriately called. Four data sets which appear comparable from their basic statistical properties, but which are obviously different when visualized.

But I don’t think that Drucker wants to throw visualization out all together. I read her article as a provocation – a reminder that visualizations, too, are interpretations of data.

Arguably, this reminder is even more important when were talking about visualizations rather than narrative or statistical descriptions. Those later modes almost inherently force a user to engage – to think about what they’re reading and what it means. Though there’s still plenty of misleading interpretation in the statistical world.

The real concern – and the one Drucker highlights so poignantly – is that we accept visualizations without question – we don’t spend enough time thinking about what boundaries a visualization should push.

In many ways this makes sense – we expect a visualization to be quickly and easily interpretable.  But we are at risk of letting our biases run wild if we don’t question this. It may be easy for someone to interpret gender in a visualization if colors indicate pink for women and blue for men.

But please, please, don’t use this color scheme to encode gender. It may be interpretable, but it carries with it too much baggage of social norms. Far better to shake things up a bit.

Drucker pushes this argument to the extreme. Changing the gender color scheme is a relatively minor act of subversion, what happens if you take this questioning further? Make the user really work to understand the data?

This argument reminds me of the work of Elizabeth Peabody – who created intricate mural charts which could only be understood with a significant amount of time and energy. These visualizations were not “user friendly,” but at a time when women had few rights, they pushed the boundary of who gets to create knowledge.

This also reminds me of the arguments of Bent Flyvjerg, who argues that social science should stop trying so hard to be computational and should instead focus on phronesis – emphasizing a humanities, rather than computational, approach.

I’m not sure the two approaches are as mutually exclusive as Flyvbjerg fears, but his argument, like Drucker’s, raises a crucial point: it is not enough to ask “what is,” it is not enough to take computation as ground truth and – in terms of visualization – to take what is easy as what is good.

Regardless of field, we should be hesitant to put humanistic concerns aside, to think that facts can stand isolated from values. Values matter. Our assumptions and interpretations matter, and it may not always be most appropriate to try to bury our biases and try to pretend that they don’t exist.

Rather, we should bring them to the fore and examine them critically. Instead of asking “do I have any biases?” perhaps we’d do better ask ourselves, “do I have Good biases?”

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A Lesson from the West Area Computers

I really want to read Hidden Figures, the new book by Margot Lee Shetterly which chronicles “the untold story of the Black women mathematicians who helped win the space race.” If you aren’t as excited about this book as I am, it highlights the work and experiences of the West Area Computers – a group of black, female mathematicians who worked at NASA Langley from 1943 through 1958.

I haven’t gotten a chance to yet, but I was particularly struck by one incident I heard on the podcast Science Friday and which I found recounted in the Smithsonian Magazine:

But life at Langley wasn’t just the churn of greased gears. Not only were the women rarely provided the same opportunities and titles as their male counterparts, but the West Computers lived with constant reminders that they were second-class citizens. In the book, Shetterly highlights one particular incident involving an offensive sign in the dining room bearing the designation: Colored Computers.

One particularly brazen computer, Miriam Mann, took responding to the affront on as a her own personal vendetta. She plucked the sign from the table, tucking it away in her purse. When the sign returned, she removed it again. “That was incredible courage,” says Shetterly. “This was still a time when people are lynched, when you could be pulled off the bus for sitting in the wrong seat. [There were] very, very high stakes.”

But eventually Mann won. The sign disappeared.

I love this story.

Not because it has a hopeful message about how determination always wins – but because it serves as a reminder of the effort and risk people of color face every day just in interacting with their environment.

The West Computers were tremendously good at their jobs and were respected by their white, male, colleagues. I imagine many of these colleagues considered themselves open-minded, even radical for the day, for valuing the talent of their black colleagues.

When I hear the story about how Mann removed the “Colored Computers” sign every day, I don’t just hear a story of the valiant strength of one woman.

I hear a story of white silence.

I hear a story about how other people didn’t complain about the sign. I imagine they barely even noticed the sign. It didn’t effect them and never weighed upon their world.

John Glenn reportedly refused to fly unless West Area Computer Katherine Johnson verified the calculations first – such respect he had for her work.

And yet it never crossed anyone’s mind that a “Colored Computers” sign might not be appropriate.

That’s just the way the world was then.

And that makes me wonder – what don’t I see?

To me, this story is a reminder that people of color experience the world differently than I do – because people like me constructed the world I experience. There must be so many things every day that just slip passed my notice, no matter how open minded or progressive I’d like to be.

It’s easy too look back at the 1940’s and see that a “Colored” sign is racist. What’s hard is to look at the world today and to see that sign’s modern day equivalent.

 

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Facts, Power, and the Bias of AI

I spent last Friday and Saturday at the 7th Annual Text as Data conference, which draws together scholars from many different universities and disciplines to discuss developments in text as data research. This year’s conference, hosted by Northeastern, featured a number of great papers and discussions.

I was particularly struck by a comment from Joanna J. Bryson as she presented her work with Aylin Caliskan-Islam, Arvind Narayanan on A Story of Discrimination and Unfairness: Using the Implicit Bias Task to Assess Cultural Bias Embedded in Language Models:

There is no neutral knowledge.

This argument becomes especially salient in the context of artificial intelligence: we tend to think of algorithms as neutral, fact-based processes which are free from the biases we experience as humans. But such a simplification is deeply faulty. As Bryson argued, AI won’t be neutral if it’s based on human culture; there is no neutral knowledge.

This argument resonates quite deeply with me, but I find it particularly interesting through the lens of an increasingly relativistic world: as facts increasingly become seen as matters of opinion.

To complicate matters, there is no clear normative judgment that can be applied to such relativism: on the one hand this allows for embracing diverse perspectives, which is necessary for a flourishing, pluralistic world. On the other hand, nearly a quarter of high school government teachers in the U.S. report that parents or others would object if they discussed politics in a government classroom.

Discussing “current events” in a neutral manner is becoming increasingly challenging if not impossible.

This comment also reminds me of the work of urban planner Bent Flyvbjerg who turns an old axiom on its head to argue that “power is knowledge.” Flyvbjerg’s concern doesn’t require a complete collapse into relativism, but rather argues that “power procures the knowledge which supports its purposes, while it ignores or suppresses that knowledge which does not serve it.” Power, thus, selects what defines knowledge and ultimately shapes our understanding of reality.

In his work with rural coal minors, John Gaventa further showed how such power dynamics can become deeply entrenched, so the “powerless” don’t even realize the extent to which their reality is dictated by the those with power.

It is these elements which make Bryson’s comments so critical; it is not just that there is no neutral knowledge, but that “knowledge” is fundamentally controlled and defined by those in power. Thus it is imperative that any algorithm take these biases into account – because they are not just the biases of culture, but rather the biases of power.

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On the Rights of a Black Man

I was struck by a comment from today’s coverage of the shooting death of an unarmed black man. To be clear, this was coverage of the death of an unarmed black man – whose name has not yet been released – in San Diego; not the recent shooting of Keith Scott in Charolette, or of Terence T. Crutcher in Tulsa.

In San Diego, a woman called 911 to get help for her mentally ill brother. Details are contested, but police shot and killed the man they’d been called to help.

In an interview this morning, a woman protesting the murder said: “Because he was black he automatically had no rights.”

That was a profound statement.

Because he was black, he automatically had no rights.

Regardless of whether or not you agree with that statement, the mere perception of that reality should be disturbing. And, incidentally, if you don’t agree with that statement, it is worth noting that it is factually indisputable that many, many unarmed black men have been killed by police under questionable circumstances.

We are a country that prides itself on individual rights, inalienable rights. Rights that can never, ever, be taken away from us.

Unless you are black.

Because he was black, he automatically had no rights.

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