Berliner Boersenzeitung - Online images reinforce gender stereotypes more than text: study

EUR -
AED 3.854833
AFN 70.842978
ALL 98.075677
AMD 407.604571
ANG 1.885958
AOA 957.143769
ARS 1057.093376
AUD 1.620899
AWG 1.891723
AZN 1.780812
BAM 1.94671
BBD 2.112785
BDT 125.046132
BGN 1.957086
BHD 0.395588
BIF 3038.30149
BMD 1.0495
BND 1.408994
BOB 7.231373
BRL 6.09738
BSD 1.046384
BTN 88.205468
BWP 14.276611
BYN 3.424545
BYR 20570.19316
BZD 2.109371
CAD 1.474657
CDF 3013.113308
CHF 0.929573
CLF 0.037178
CLP 1025.854536
CNY 7.611024
CNH 7.614136
COP 4620.946964
CRC 534.688137
CUC 1.0495
CUP 27.811741
CVE 110.905837
CZK 25.276517
DJF 186.51722
DKK 7.458647
DOP 63.497795
DZD 140.238373
EGP 52.086037
ERN 15.742495
ETB 129.560857
FJD 2.389133
FKP 0.828388
GBP 0.83452
GEL 2.865435
GGP 0.828388
GHS 16.474638
GIP 0.828388
GMD 74.514077
GNF 9057.182336
GTQ 8.076137
GYD 218.923625
HKD 8.167831
HNL 26.473615
HRK 7.486353
HTG 137.338083
HUF 410.810368
IDR 16706.460195
ILS 3.824209
IMP 0.828388
INR 88.513069
IQD 1375.369293
IRR 44170.817668
ISK 145.104175
JEP 0.828388
JMD 165.238465
JOD 0.744408
JPY 160.427543
KES 135.913134
KGS 91.122843
KHR 4250.473525
KMF 492.162793
KPW 944.549288
KRW 1464.372094
KWD 0.32291
KYD 0.872045
KZT 522.490418
LAK 23052.260115
LBP 93982.693723
LKR 304.721381
LRD 188.726248
LSL 18.933171
LTL 3.0989
LVL 0.634832
LYD 5.137341
MAD 10.530153
MDL 19.12407
MGA 4910.608977
MKD 61.565484
MMK 3408.733928
MNT 3566.199758
MOP 8.387994
MRU 41.890784
MUR 49.148227
MVR 16.214668
MWK 1821.931462
MXN 21.690641
MYR 4.677089
MZN 67.071194
NAD 18.932901
NGN 1776.036553
NIO 38.579727
NOK 11.69151
NPR 141.128351
NZD 1.797468
OMR 0.40405
PAB 1.046424
PEN 3.965272
PGK 4.166377
PHP 61.885324
PKR 291.498726
PLN 4.307694
PYG 8166.02661
QAR 3.820808
RON 4.97683
RSD 116.993003
RUB 110.720688
RWF 1438.864022
SAR 3.943084
SBD 8.805922
SCR 13.772279
SDG 631.27191
SEK 11.53176
SGD 1.411976
SHP 0.828388
SLE 23.826447
SLL 22007.487903
SOS 599.792459
SRD 37.157507
STD 21722.523845
SVC 9.156247
SYP 2636.899209
SZL 18.933076
THB 36.410294
TJS 11.181299
TMT 3.683744
TND 3.324028
TOP 2.458031
TRY 36.374397
TTD 7.114847
TWD 34.024847
TZS 2775.926352
UAH 43.478489
UGX 3876.934664
USD 1.0495
UYU 44.591791
UZS 13465.080764
VES 49.006494
VND 26673.033631
VUV 124.598708
WST 2.929774
XAF 652.920809
XAG 0.0345
XAU 0.000399
XCD 2.836325
XDR 0.800447
XOF 658.559065
XPF 119.331742
YER 262.296216
ZAR 19.09328
ZMK 9446.766437
ZMW 28.855542
ZWL 337.938459
  • RBGPF

    0.8100

    61

    +1.33%

  • SCS

    -0.1800

    13.54

    -1.33%

  • RIO

    -0.9500

    62.03

    -1.53%

  • RYCEF

    0.0300

    6.8

    +0.44%

  • BTI

    0.3800

    37.71

    +1.01%

  • CMSD

    -0.1500

    24.43

    -0.61%

  • RELX

    0.2400

    46.81

    +0.51%

  • NGG

    -0.4300

    62.83

    -0.68%

  • CMSC

    -0.1600

    24.57

    -0.65%

  • GSK

    -0.1300

    34.02

    -0.38%

  • VOD

    -0.0500

    8.86

    -0.56%

  • BCE

    -0.3900

    26.63

    -1.46%

  • BCC

    -4.0900

    148.41

    -2.76%

  • BP

    -0.3600

    28.96

    -1.24%

  • AZN

    -0.0400

    66.36

    -0.06%

  • JRI

    -0.1300

    13.24

    -0.98%

Online images reinforce gender stereotypes more than text: study
Online images reinforce gender stereotypes more than text: study / Photo: STAFF - AFP/File

Online images reinforce gender stereotypes more than text: study

Images on the internet reinforce gender stereotypes -- such as doctors being men or nurses women -- more than text, contributing to a lasting bias against women, a US-based study said Wednesday.

Text size:

The importance of images has soared as much of the world's media, communication and even social interactions have moved online.

But this rising dominance of the image "exacerbates gender bias" by significantly under-representing women, according to the study in the journal Nature.

Lead author Douglas Guilbeault, a researcher at the business school of the University of California, Berkeley, told AFP that this was an "alarming" trend.

He warned of "the potential consequences this can have on reinforcing stereotypes that are harmful, mostly to women, but also to men."

Study co-author Solene Delecourt, also from UC Berkeley, said an example would be if a child was trying to find out more about a profession online but only saw images of one gender.

"They may feel like they don't belong," she said.

Images are also "often more memorable and emotionally evocative than text," the study said.

- 'Really concerning' -

For the study, the researchers sifted through more than one million images from Google, Wikipedia and the IMDb film database, as well as billions of words on those platforms.

They looked for potential bias in nearly 3,000 social categories, including jobs such as doctor or lawyer, or roles such as neighbour or colleague.

Both over-represented men, but the images displayed even more gender bias than the words, the researchers found.

For example, the stereotype that women are nurses was "consistently stronger" in the images than the text, Guilbeault said.

This bias was not limited to the United States -- the researchers used many images from websites around the world -- nor was it confined to a particular platform.

The gender bias is also larger than what the general public broadly think, according to an opinion poll carried out by the researchers.

The team also used US census data to show that the under-representation of women for these jobs seen in online images does not match reality.

Finally, they looked into what psychological impact this bias has on people using the internet.

They had 450 people search online for specific jobs -- such as astronaut, poet or neurobiologist -- some reading text while others looked at images.

Afterwards, the participants carried out a test designed to measure their bias.

The group that looked up images had a more pronounced gender bias -- and the effect was still present during another test three days later, the researchers said.

"Images influence people in ways that they may not consciously realise," Guilbeault said.

He also lamented that there has been so little attention paid to "this shift towards image-based communication".

The researchers pointed to the role of online platforms in amplifying gender bias through their images, calling for more to be done.

They also warned that new image generators driven by artificial intelligence algorithms draw heavily on existing online images.

"It's not a surprise that the images these algorithms generate reflect all kinds of biases," Guilbeault said.

(B.Hartmann--BBZ)