Your English writing platform
Discover LudwigExact(1)
Rather, in Malaysia, ethnicity plays a major role in children's advertisements recognition as a local content analysis of three major ethnic channels highlighted there was a significant difference in food advertising exposure between ethnic-specific channels [ 32].
Similar(58)
The four induction factors include (i) recognition of advertised food products (advertisement recognition), (ii) liking the food advertisements on TV (favourite advertisement), (iii) purchase requests induced by TVFA (purchase request), and (iv) product preference generated by TVFA (product preference).
The main advantage of this approach comes from its high efficiency of detection, which allows it could be applied to real-time advertisement recognition applications.
Another example of the techniques in this category could be found in [4], in which the detection-based technique can also be used as a filtering method to accelerate the advertisement recognition [4].
Median score trend was advertisement recognition > favourite advertisement and product preference > purchase request, and significantly greater (p < 0.001) for non-core than core food advertisements.
This cross-sectional study investigated children's attitudes towards TVFA by examining four well-cited induction factors namely advertisement recognition, favourite advertisement, purchase request, and product preference.
This feedback was obtained for each induction factor which included (i) advertisement recognition (ii) favourite advertisement (iii) purchase request, and (iv) product preference.
TV viewing time (IRR: 1.03; 95 % CI: 1.01 1.04) and ethnicity (Malay vs non-Malay, IRR: 1.14; 95 % CI: 1.08 1.20) were significantly associated with advertisement recognition as shown in Fig. 3a.
The four induction factors considered in this study are (i) advertisement recognition, (ii) favourite advertisement, (iii) purchase request, and (iv) product preference, with each of these factors as a count measure.
For example, for (i) advertisement recognition – " Have you seen this TV advert before?"; (ii) favourite advertisement – " Do you like the advert?"; (iii) purchase request – " Will you ask your parent to buy it?"; and (iv) product preference – " Do you like to eat or drink this food product?".
Overall, advertisement recognition achieved the highest scores among induction factors as subjects significantly recognised more non-core foods compared to core foods (p < 0.001) as evidenced by a score of 0.93 (0.80 1.00) for non-core foods compared to 0.78 (0.56–0.89) for core foods.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com