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Social sorting

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According to David Lyon, Canadians are still unaware of the fact that surveillance which goes collaboratively with social sorting is now very much integrated into their daily lives. David Lyon discusses that the systematic routines and attention to personal detail which is encompassed into
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of employment. Findings indicate that, after controlling for seniority, African Americans are susceptible to layoffs on a relatively broad and generalized basis that is unstructured by traditional, stratification-based causal factors, namely, background socioeconomic status, human-capital
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In 2015, The Data Broker Accountability and Transparency Act was resurrected by four U.S senators that would allow consumers to see and correct personal information held by data brokers and tell those businesses to stop sharing or selling it for marketing purposes.
238:, derived power (social and political) and geographic residence. Depending on the goals of the manipulator raw data is collected and then further evolves into meaningful data in order to be exploited for a specific purpose. For example, the formulation of 266:
Criticisms are often directed at the laws, implemented rules, educational system, job employment opportunities and at the government. Questions are asked of the integrity of many socially constructed programs led by private and government institutions.
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surveillance. The key criticism involves indifferent treatment to individuals based on their profile. Depending on the details of a person it can lead to the determination of whether the person may end up on a
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who work for good financial income in the upper tier for relatively privileged jobs. "The minority vulnerability thesis, accordingly, maintains that African Americans are more likely to experience
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and profiling people. The beneficiaries that are associated with it are evident as it allows for a more transparent viewership. Some researchers such as David Lyon are concerned with the rise of
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George Wilson and Debra Branch McBrier (2005). "Race and Loss of Privilege: African American/White Differences in the Determinants of Job Layoffs From Upper-Tier Occupations".
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is understood as the breakdown and categorization of group- or person-related raw data into various categories and segments by data manipulators and
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from upper-tier occupations than Whites even when the two groups have similar background socioeconomic statuses, have accumulated similar
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http://www.universityaffairs.ca/news/news-article/researchers-concerned-by-the-rise-of-big-data-surveillance/
210:. Social sorting involves the key task of separating one group from the other. These groups can be based on 302: 219: 359: 133: 429: 255: 137: 129: 77:
that states a Knowledge editor's personal feelings or presents an original argument about a topic.
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http://www.computerworld.com/article/2893693/lawmakers-target-data-brokers-in-privacy-bill.html
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credentials, such as educational attainment and commitment to work, and have similar job/
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http://journals1.scholarsportal.info/pdf/08848971/v20i0002/301_ralopaojlfuo.xml
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Women Like Meat. The folklore and foraging ideology of the Kalahari Ju/'hoan.
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David Lyon insinuates that social sorting through surveillance is a modern
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http://www.espncricinfo.com/southafrica/content/story/863161.html
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personal reflection, personal essay, or argumentative essay
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as there are many implication on the daily lives of many.
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credentials, and job/labor-market characteristics."
336:characteristics, including union status as well as 375: 461: 142:but its sources remain unclear because it lacks 301:. Byproducts of social sorting are isolation, 440:http://cognet.mit.edu/book/sorting-things-out 320:of employees. These constitute to a group of 445:https://www.youtube.com/watch?v=xtAa-f-1rTg 50:Learn how and when to remove these messages 191:Learn how and when to remove this message 173:Learn how and when to remove this message 103:Learn how and when to remove this message 312:Wilson & McBrier (2005) conducted a 246:are all derivations of social sorting. 462: 114: 56: 15: 13: 14: 486: 31:This article has multiple issues. 426:Witwatersrand: University Press. 316:based on the theory of minority 119: 61: 20: 39:or discuss these issues on the 382: 376:References and further reading 1: 254:The concept is accredited to 7: 348: 278:have fueled the desire for 10: 491: 360:Algorithmic radicalization 249: 403:10.1007/s11206-005-4102-6 261: 128:This article includes a 157:more precise citations. 83:by rewriting it in an 470:Business intelligence 370:Targeted advertising 272:September 11 attacks 274:and the subsequent 244:predictive policing 422:Biesele, M. 1993. 391:Sociological Forum 314:longitudinal study 130:list of references 85:encyclopedic style 72:is written like a 322:African Americans 299:threat to freedom 201: 200: 193: 183: 182: 175: 113: 112: 105: 54: 482: 415: 414: 386: 196: 189: 178: 171: 167: 164: 158: 153:this article by 144:inline citations 123: 122: 115: 108: 101: 97: 94: 88: 65: 64: 57: 46: 24: 23: 16: 490: 489: 485: 484: 483: 481: 480: 479: 460: 459: 419: 418: 387: 383: 378: 351: 338:economic sector 307:marginalization 264: 252: 197: 186: 185: 184: 179: 168: 162: 159: 148: 134:related reading 124: 120: 109: 98: 92: 89: 81:help improve it 78: 66: 62: 25: 21: 12: 11: 5: 488: 478: 477: 472: 458: 457: 452: 447: 442: 437: 432: 427: 417: 416: 397:(2): 301–321. 380: 379: 377: 374: 373: 372: 367: 362: 357: 355:Affinity fraud 350: 347: 263: 260: 251: 248: 204:Social sorting 199: 198: 181: 180: 138:external links 127: 125: 118: 111: 110: 69: 67: 60: 55: 29: 28: 26: 19: 9: 6: 4: 3: 2: 487: 476: 475:Social status 473: 471: 468: 467: 465: 456: 453: 451: 448: 446: 443: 441: 438: 436: 433: 431: 428: 425: 421: 420: 412: 408: 404: 400: 396: 392: 385: 381: 371: 368: 366: 365:Narrowcasting 363: 361: 358: 356: 353: 352: 346: 342: 339: 335: 331: 330:human-capital 327: 323: 319: 318:vulnerability 315: 310: 308: 304: 300: 295: 293: 287: 285: 281: 277: 276:war on terror 273: 268: 259: 257: 247: 245: 241: 237: 236:social status 233: 229: 225: 221: 217: 213: 209: 205: 195: 192: 177: 174: 166: 156: 152: 146: 145: 139: 135: 131: 126: 117: 116: 107: 104: 96: 93:December 2016 86: 82: 76: 75: 70:This article 68: 59: 58: 53: 51: 44: 43: 38: 37: 32: 27: 18: 17: 423: 394: 390: 384: 343: 334:labor market 311: 296: 288: 280:categorizing 269: 265: 253: 208:data brokers 203: 202: 187: 169: 160: 149:Please help 141: 99: 90: 71: 47: 40: 34: 33:Please help 30: 303:segregation 292:No Fly List 155:introducing 464:Categories 256:David Lyon 232:occupation 36:improve it 411:144509770 240:profiling 224:ethnicity 216:education 163:June 2024 42:talk page 349:See also 284:big data 326:layoffs 250:History 151:improve 79:Please 409:  262:Themes 228:gender 212:income 407:S2CID 136:, or 305:and 270:The 242:and 220:race 399:doi 466:: 405:. 395:20 393:. 294:. 234:, 230:, 226:, 222:, 218:, 214:, 140:, 132:, 45:. 413:. 401:: 194:) 188:( 176:) 170:( 165:) 161:( 147:. 106:) 100:( 95:) 91:( 87:. 52:) 48:(

Index

improve it
talk page
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personal reflection, personal essay, or argumentative essay
help improve it
encyclopedic style
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list of references
related reading
external links
inline citations
improve
introducing
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data brokers
income
education
race
ethnicity
gender
occupation
social status
profiling
predictive policing
David Lyon
September 11 attacks
war on terror
categorizing
big data

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