The Fort Worth Press - Facebook's algorithm doesn't alter people's beliefs: research

USD -
AED 3.672502
AFN 65.000265
ALL 79.92783
AMD 363.501836
ANG 1.790365
AOA 916.999587
ARS 1510.498205
AUD 1.405995
AWG 1.8
AZN 1.712179
BAM 1.70475
BBD 2.015105
BDT 122.866121
BGN 1.683441
BHD 0.377158
BIF 3009.975725
BMD 1
BND 1.276579
BOB 10.179685
BRL 5.154403
BSD 1.000449
BTN 95.931629
BWP 13.567684
BYN 3.041441
BYR 19600
BZD 2.012246
CAD 1.398404
CDF 2309.999976
CHF 0.823715
CLF 0.02424
CLP 957.119987
CNY 6.706401
CNH 6.704525
COP 3150.71
CRC 447.578413
CUC 1
CUP 26.5
CVE 96.109511
CZK 21.173502
DJF 178.159742
DKK 6.50867
DOP 59.260873
DZD 133.714345
EGP 52.080939
ERN 15
ETB 163.423038
EUR 0.87071
FJD 2.24075
FKP 0.743677
GBP 0.748735
GEL 2.605033
GGP 0.743677
GHS 11.515883
GIP 0.743677
GMD 73.99977
GNF 8795.70108
GTQ 7.633807
GYD 209.2854
HKD 7.845435
HNL 26.85343
HRK 6.5585
HTG 130.759174
HUF 315.855501
IDR 17734
ILS 3.033885
IMP 0.743677
INR 95.818603
IQD 1310.636666
IRR 1374575.000109
ISK 121.530313
JEP 0.743677
JMD 157.885791
JOD 0.709049
JPY 155.7375
KES 129.560478
KGS 87.449895
KHR 4074.837551
KMF 427.999919
KPW 900.000318
KRW 1381.105007
KWD 0.30843
KYD 0.833795
KZT 445.677328
LAK 22408.751171
LBP 89594.128747
LKR 331.841379
LRD 173.581452
LSL 16.298676
LTL 2.95274
LVL 0.60489
LYD 6.355114
MAD 9.52989
MDL 17.564075
MGA 4345.078556
MKD 53.623182
MMK 2099.664815
MNT 3596.851201
MOP 8.084808
MRU 40.080539
MUR 47.659718
MVR 15.409809
MWK 1734.87843
MXN 17.182103
MYR 4.098302
MZN 63.895489
NAD 16.298676
NGN 1330.839669
NIO 36.817998
NOK 9.41601
NPR 153.487582
NZD 1.74388
OMR 0.384511
PAB 1.000458
PEN 3.377685
PGK 4.451379
PHP 62.711998
PKR 277.316313
PLN 3.79376
PYG 5918.423381
QAR 3.647021
RON 4.5821
RSD 102.175986
RUB 84.502542
RWF 1476.267885
SAR 3.713538
SBD 8.000512
SCR 13.793944
SDG 601.515787
SEK 9.817735
SGD 1.275445
SHP 0.746965
SLE 24.640232
SLL 20969.491881
SOS 571.784692
SRD 37.7465
STD 20697.981008
STN 21.354764
SVC 8.754581
SYP 13002.000254
SZL 16.292377
THB 33.258501
TJS 9.229529
TMT 3.5
TND 2.943174
TOP 2.40776
TRY 48.674602
TTD 6.792558
TWD 31.890304
TZS 2653.428013
UAH 44.708507
UGX 3931.959922
UYU 40.225402
UZS 11781.061917
VES 845.45495
VND 26012
VUV 118.307083
WST 2.742913
XAF 571.148122
XAG 0.015236
XAU 0.00023
XCD 2.702549
XCG 1.803158
XDR 0.707052
XOF 571.148122
XPF 103.951572
YER 236.649751
ZAR 16.26681
ZMK 9001.200304
ZMW 19.635051
ZWL 321.999592
SSP 5658.175743
MXV 1.948093
  • AZN

    2.8500

    165.74

    +1.72%

  • BCC

    0.0000

    75.31

    0%

  • RBGPF

    0.0000

    69.99

    0%

  • CMSC

    0.2400

    20.72

    +1.16%

  • GSK

    0.4680

    50.758

    +0.92%

  • BCE

    0.0200

    22.52

    +0.09%

  • BTI

    -0.1850

    55.905

    -0.33%

  • RELX

    0.1510

    34.421

    +0.44%

  • BP

    0.2700

    45.65

    +0.59%

  • JRI

    0.1300

    11.63

    +1.12%

  • CMSD

    0.1100

    20.4

    +0.54%

  • NGG

    1.5000

    77.53

    +1.93%

  • RYCEF

    0.4200

    20

    +2.1%

  • VOD

    0.0850

    17.545

    +0.48%

  • RIO

    2.3300

    98.12

    +2.37%

Facebook's algorithm doesn't alter people's beliefs: research
Facebook's algorithm doesn't alter people's beliefs: research / Photo: © AFP/File

Facebook's algorithm doesn't alter people's beliefs: research

Do social media echo chambers deepen political polarization, or simply reflect existing social divisions?

Text size:

A landmark research project that investigated Facebook around the 2020 US presidential election published its first results Thursday, finding that, contrary to assumption, the platform's often criticized content-ranking algorithm doesn't shape users' beliefs.

The work is the product of a collaboration between Meta -- the parent company of Facebook and Instagram -- and a group of academics from US universities who were given broad access to internal company data, and signed up tens of thousands of users for experiments.

The academic team wrote four papers examining the role of the social media giant in American democracy, which were published in the scientific journals Science and Nature.

Overall, the algorithm was found to be "extremely influential in people's on-platform experiences," said project leaders Talia Stroud of the University of Texas at Austin and Joshua Tucker, of New York University.

In other words, it heavily impacted what the users saw, and how much they used the platforms.

"But we also know that changing the algorithm for even a few months isn't likely to change people's political attitudes," they said, as measured by users' answers on surveys after they took part in three-month-long experiments that altered how they received content.

The authors acknowledged this conclusion might be because the changes weren't in place for long enough to make an impact, given that the United States has been growing more polarized for decades.

Nevertheless, "these findings challenge popular narratives blaming social media echo chambers for the problems of contemporary American democracy," wrote the authors of one of the papers, published in Nature.

- 'No silver bullet' -

Facebook's algorithm, which uses machine-learning to decide which posts rise to the top of users' feeds based on their interests, has been accused of giving rise to "filter bubbles" and enabling the spread of misinformation.

Researchers recruited around 40,000 volunteers via invitations placed on their Facebook and Instagram feeds, and designed an experiment where one group was exposed to the normal algorithm, while the other saw posts listed from newest to oldest.

Facebook originally used a reverse chronological system and some observers have suggested that switching back to it will reduce social media's harmful effects.

The team found that users in the chronological feed group spent around half the amount of time on Facebook and Instagram compared to the algorithm group.

On Facebook, those in the chronological group saw more content from moderate friends, as well as more sources with ideologically mixed audiences.

But the chronological feed also increased the amount of political and untrustworthy content seen by users.

Despite the differences, the changes did not cause detectable changes in measured political attitudes.

"The findings suggest that chronological feed is no silver bullet for issues such as political polarization," said coauthor Jennifer Pan of Stanford.

- Meta welcomes findings -

In a second paper in Science, the same team researched the impact of reshared content, which constitutes more than a quarter of content that Facebook users see.

Suppressing reshares has been suggested as a means to control harmful viral content.

The team ran a controlled experiment in which a group of Facebook users saw no changes to their feeds, while another group had reshared content removed.

Removing reshares reduced the proportion of political content seen, resulting in reduced political knowledge -- but again did not impact downstream political attitudes or behaviors.

A third paper, in Nature, probed the impact of content from "like-minded" users, pages, and groups in their feeds, which the researchers found constituted a majority of what the entire population of active adult Facebook users see in the US.

But in an experiment involving over 23,000 Facebook users, suppressing like-minded content once more had no impact on ideological extremity or belief in false claims.

A fourth paper, in Science, did however confirm extreme "ideological segregation" on Facebook, with politically conservative users more siloed in their news sources than liberals.

What's more, 97 percent of political news URLs on Facebook rated as false by Meta's third-party fact checking program -- which AFP is part of -- were seen by more conservatives than liberals.

Meta welcomed the overall findings.

They "add to a growing body of research showing there is little evidence that social media causes harmful... polarization or has any meaningful impact on key political attitudes, beliefs or behaviors," said Nick Clegg, the company's president of global affairs.

K.Ibarra--TFWP