INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 06,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 2160
HOW IS TRUST IN DIGITAL CONTENT FORMED ON INSTAGRAM? AN ANALYSIS OF
BRANDS THROUGH THE LENS OF NEUROMARKETING AND JOURNALISM
Zumrad Eshmirzaeva
Master of Journalism and Mass Communications University of Uzbekistan
ORCID: 0009-0006-3844-3706
Abstract:
In the digital era, where content is increasingly delivered through social media, trust
in content has become a convergence point for journalism, marketing, and neuroscience.
Especially on Instagram, how brand-generated visual and textual materials trigger trust in users
is closely tied to neuromarketing and media ethics. This article analyzes content strategies
employed by selected Instagram brand pages. Based on neuromarketing theories, content
analysis, and audience feedback, the study offers useful insights for professionals in marketing
and journalism.
Keywords:
Digital content, trust, Instagram, neuromarketing, journalism, brand strategy, visual
communication
INTRODUCTION
In recent years, the volume of digital information has been increasing at an unprecedented pace.
Particularly with the rise in popularity of social platforms like Instagram, the culture of content
production and consumption has undergone a significant transformation. In a competitive
digital environment, brands are employing a variety of strategies to attract audience attention
and maintain engagement through trust. Elements such as content quality, visual aesthetics,
storytelling, personalization, and contextual consistency play a critical role. However, a
fundamental question remains unanswered:
On what basis do audiences place their trust in
such content?
In traditional journalism, trust is built through source credibility, authorship, transparency, and
ethical responsibility. In digital marketing, however, this process is more complex and
intertwined with neuropsychological factors. The recent advances in the field of
neuromarketing
offer insights into how trust, attention, and emotional reactions are shaped in
the brain. Biological mechanisms such as dopamine, oxytocin, and the limbic system play a key
role in content consumption. At the same time,
media marketing
is emerging as a crucial tool
in shaping brand image and managing emotional engagement with audiences.
This article offers an in-depth analysis of how trust in digital content—specifically in brand
posts on Instagram—is formed from the integrated perspectives of
neuromarketing,
journalism, and media marketing
. It explores how the audience’s sense of trust is influenced
by content format, tone, visual and emotional coherence, and ethical standards. Furthermore,
the study examines how this trust affects brand reputation and conversion rates.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 06,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 2161
The relevance of this research lies in its potential to provide scientifically grounded strategic
insights for SMM specialists, marketing agencies, brand owners, and journalists on how to
create credible and persuasive content. It also helps to understand how the principles of modern
journalism are being transformed within the context of digital media.
RESEARCH METHODOLOGY
This study investigates how trust in digital content is formed by analyzing popular Uzbek
brands operating on the Instagram platform. The research lies at the intersection of
neuromarketing, journalism, and media marketing, and is based on qualitative and observational
analysis methods.
1. Research Design
The study follows a hybrid approach, combining
theoretical analysis
with
practical
observation-based analysis
. The main goal is to determine which psychological and visual
factors influence audience trust and to evaluate brand content strategies from a neuromarketing
perspective.
2. Object and Selection Criteria
Five popular Instagram brand pages with a large audience and active presence in the Uzbek
market were selected for analysis. The selection was based on the following criteria:
Selection Criteria
Description
Number of followers
At least 100,000 followers
Quality of visual content
Professional design, consistent brand colors, clarity,
and harmony
Level of audience interaction
Responses to comments and story-based questions
Variety and consistency
Use of different content formats: photos, videos,
Reels, and Stories
Brand image
Consistent brand tone that inspires trust among the
audience
Selected Instagram pages:
1.
– Artel (home appliances)
2.
– Makro Market (retail chain)
3.
– IMZO (window and door brand)
4.
– Texnomart (electronics)
3. Data Collection Methods
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 06,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 2162
The
latest five posts
(photo or video) from each page were selected, totaling
25 content
units
.
For each post, the following
neuromarketing indicators
were observed:
o
Visual appeal
(color, clarity, facial expressions)
o
Emotional tone
(emotive elements in captions/texts)
o
Social proof
(number of comments, feedback visibility)
o
Personalization
(direct address to the audience using “you”, “we”)
o
Brand trust cues
(logos, credible sources, reliability of the offer)
4. Method of Analysis
The analysis was conducted using
content coding
and
categorization into thematic groups
.
Each content unit was rated on a scale from 0 to 2:
Score
Meaning
0
Indicator completely absent
1
Indicator present but weak or unclear
2
Indicator clearly and strongly represented
Based on the scores, the strength of trust-building elements in the content was evaluated.
5. Research Limitations
This study focused exclusively on the Instagram platform and did not include other
social media platforms such as TikTok, Telegram, or Facebook.
The analysis was conducted via content observation only. Conclusions about audience
emotion and perception were drawn based on visual and verbal cues;
no experimental testing
was conducted.
RESEARCH RESULTS AND ANALYSIS
Based on the analysis of 25 content units, the following key observations and conclusions were
drawn. The results were evaluated according to how strongly neuromarketing indicators were
reflected and how much they influenced audience trust.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 06,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 2163
1. Visual Appeal – The Strongest Trust Factor
In 20 out of 25 analyzed posts (80%), the visual appeal indicator was clearly present. In
particular, the product visuals on the @artel_official and @texnomart pages stood out for their
high resolution, bright colors, and centralized framing—factors that contributed to a stronger
sense of trust.
Example: A smartphone launch post on the @texnomart page used a branded background color
and prominently displayed the logo, making the content appear professional and trustworthy.
2. Emotional Tone – Adds Human Warmth to the Brand
52% of the posts (13 posts) included emotional components, expressed through words
conveying warmth, joy, affection, or compassion. The @makro_supermarket page especially
featured emotionally resonant content during holidays, campaigns, and social aid events.
3. Social Proof – Reinforces Trust Through Public Engagement
@imzo.official showed the highest level of social proof, with an average of 80–100 comments
and active discussions under its posts. This level of audience engagement strengthens trust
through social validation. Other brand pages showed moderate performance (20–50 comments
on average).
4. Personalization – Less Frequent but Highly Effective
Only @makro_supermarket and @imzo.official used direct audience addressing (“You”,
“Friends”, “We”) in their posts. As Paul Zak (2017) noted, such personalized communication
can increase oxytocin levels in the brain, fostering a sense of closeness and increasing trust [2].
5. Brand Credibility Indicators – Logo and Visual Consistency
All analyzed pages (100%) consistently featured brand logos, a unified visual style, and clearly
defined call-to-actions. These serve as technical trust indicators and contribute to the perception
of a professional and reliable brand image in the minds of the audience.
DISCUSSION
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 06,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 2164
The results of this study provide valuable analytical insights into how trust in digital content is
formed within audiences. Notably, the strategic integration of
visual design
,
emotional tone
,
personalization
, and
social proof
elements significantly enhances perceived credibility. This
section analyzes these findings through the lens of
neuroscience (neuromarketing)
,
journalism ethics
, and
media marketing strategies
.
1. Neuromarketing Perspective: Understanding How the Brain Trusts
The study revealed that content with high visual appeal strongly triggers audience trust. From a
neuromarketing standpoint, this reaction is linked to increased activity in the limbic system—
the brain’s emotional processing center. As Paul Zak (2017) notes, emotionally warm messages
stimulate oxytocin release, which fosters feelings of closeness and trust.
Direct audience addresses such as "you", "friends", and "we" effectively activated emotional
resonance. Additionally, the use of clean, professional visual elements such as brand logos and
color harmony triggered dopamine (reward) and serotonin (calmness) responses—leading to
greater content acceptance.
2. Journalistic Perspective: Transparency and Information Credibility
The core principles of journalism—factual accuracy, source transparency, and non-
manipulative presentation—remain relevant in digital content. Brand pages that consistently
used logos, concise offers, and distraction-free visuals contributed to a trustworthy impression.
However, some accounts (e.g., Texnomart) showed weaker community interaction, as reflected
in lower comment activity. This indicates that transparency must not be limited to content
presentation but should extend to audience engagement practices.
3. Media Marketing Strategy: Building a Trust-Based Brand Image
From a marketing standpoint, digital content serves not only to promote products but also to
shape brand perception. This study showed that pages like IMZO and Makro earned audience
trust by maintaining consistency, strong visuals, and emotional connection.
Nevertheless, the use of personalization, messages of social benefit, and humanized storytelling
were underutilized across many brands. These elements can be critical differentiators in future
marketing strategies.
4. Transformational Insights and Future Recommendations
This research outlines clear strategic directions for improving trust in digital content. These
include:
Combining
emotional design
,
direct audience address
, and
social proof
in content
planning;
Structuring each post around
visual clarity
,
human expression
, and
authentic
offerings
;
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 06,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 2165
Integrating
journalistic ethics
into digital marketing—e.g., labeling AI-generated
content, citing credible sources;
Evaluating content not only by aesthetics but by its
neurological and psychological
impact
on the viewer.
CONCLUSION
Based on the analysis of 25 content units, it was determined that trust in digital content is
primarily shaped by five key neuromarketing indicators:
visual appeal (80%), emotional tone
(52%), social proof (40%), personalization (20%), and brand reliability signals (100%)
.
These indicators helped identify which content elements are most effective in fostering
trust among audiences.
First
, visual appeal — including color harmony, clarity, facial expressions, and presence of
brand logos — activates the brain’s
limbic system
and stimulates
dopamine release
, thereby
enhancing the feeling of trust. This supports Paul Zak’s (2017) hypothesis on oxytocin and
emotional closeness as practical trust enhancers [2].
Second
, emotional tone stimulates warmth and sincerity in users, transforming content from a
simple information medium into a more human-centered experience. As Daniel Kahneman
(2011) noted, content that is emotionally easier to process often results in
higher trust levels
.
Third
,
social proof
— manifested through user comments and public opinion — reinforces
credibility by engaging other viewers. This phenomenon, a key element in neuromarketing,
builds a
chain of social trust
.
Fourth
, although personalization was relatively rare, it had a strong impact where present.
Direct references to the audience, such as “You,” “Friends,” or “We,” proved to capture
attention and build emotional connection.
Fifth
,
technical markers of trust
such as consistent logos, clear value propositions, and
coherent visual design were found across all analyzed accounts. These elements reflect a
professional content strategy
and shape brand trust in the viewer’s mind.
Recommendations
1.
SMM specialists
should integrate psychology-based design and language approaches
when crafting content.
2.
Marketing agencies
should build brand image not only through product messaging but
also through emotional proximity.
3.
Journalists
must adhere to principles of
accuracy, transparency, and credibility
,
even in AI-generated content.
4.
International and local media organizations
should establish
ethical codes of
conduct
specifically for AI-based content creation.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 06,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 2166
5.
Future research should explore
how trust in digital content varies across age groups
and cultural backgrounds
.
Trust in digital content is not about design—it’s about emotion. It is formed not only by
the eyes, but through the heart.
REFERENCES:
1. Kahneman, D. (2011). Thinking, Fast and Slow. New York: Farrar, Straus and Giroux.
2. Zak, P. J. (2017). Trust Factor: The Science of Creating High-Performance Companies.
New York: AMACOM.
3. Cialdini, R. B. (2006). Influence: The Psychology of Persuasion (Revised Ed.). New York:
Harper Business.
4. Hern, A. (2023, July 12). Microsoft's Bing AI cited fake articles in generated responses,
investigation finds. The Guardian.
5. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases.
Science, 185(4157), 1124-1131.
6. Statista. (2023). Number of Instagram users in Uzbekistan as of January 2023.
7. Vincent, J. (2022, October 21). AI deepfake videos used in political campaigns spark ethics
debate. The Verge.
