Short answer

Utilize computational text analysis tools to objectively assess and define brand personality in digital communication channels.

Field
Innovation & Markets
Source
South African Journal of Business Management (2007)
Method
Computer-aided content analysis and correspondence analysis.
Evidence
Moderate effect

Computer-aided content analysis can reliably quantify the brand personality traits communicated by authors on their websites. This innovation & markets research insight is drawn from a 2007 study published in South African Journal of Business Management. Using Computer-aided content analysis and correspondence analysis., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Utilize computational text analysis tools to objectively assess and define brand personality in digital communication channels.

Study
Innovation & MarketsHigh ImpactModerate effect

Digital Brand Personality: Quantifying Authorial Self-Presentation Online

Computer-aided content analysis can reliably quantify the brand personality traits communicated by authors on their websites.

South African Journal of Business Management · 2007

01

Key Findings

  • 01Computer-aided content analysis can be a reliable method for assessing brand personality in online communications.
  • 02Website content can be used as a proxy for an author's self-communicated brand personality.
02

Application

Design takeaway

Utilize computational text analysis tools to objectively assess and define brand personality in digital communication channels.

How to apply

Employ software that performs sentiment analysis and keyword extraction on website text to identify recurring themes and personality descriptors.

Project actions

  • 01When analyzing online content, be clear about the specific personality traits you are looking for.
  • 02Consider using a mix of qualitative and quantitative analysis to get a richer understanding.
03

Method & Evidence

AimTo evaluate whether bestselling authors communicate distinct brand personality traits online using computer-aided content analysis.
MethodComputer-aided content analysis and correspondence analysis.
ProcedureThe study analyzed the content of authors' websites to identify and quantify communicated brand personality traits, using computational methods to enhance reliability and efficiency compared to manual coding.
ContextOnline author branding and digital marketing communications.

Variables

IVWebsite content (textual data).
DVCommunicated brand personality traits (e.g., sincerity, excitement, competence, sophistication, ruggedness).
CVAuthor's bestseller status, type of website content (e.g., bio, blog, reviews).
04

Strengths & Limitations

Strengths

  • +Introduces a novel, computationally-driven method for brand personality analysis.
  • +Addresses the efficiency and reliability challenges of manual content analysis.

Limitations

The accuracy of computer-aided analysis depends heavily on the sophistication of the software and the quality of the text data. It may miss nuances or cultural context.

Reliability & validity

Reliability is enhanced by using computational methods over manual coding. Validity is supported by the presumption that website content is intentionally curated, though it may be challenged by the interpretation of personality traits.

Think critically

To what extent does the 'presumption' that website content reflects intended self-presentation hold true, and what other factors might influence online communication?

05

Design Principles

"Digital brand personality should be intentionally crafted and measurable through content analysis."

Understanding how individuals or brands present themselves online is crucial for effective marketing and stakeholder engagement. This method allows for objective measurement of communicated personality, informing strategies for brand building and differentiation in the digital space.

06

What This Means for Your Design

You can use computers to read lots of text from websites and figure out what kind of 'personality' a person or brand is showing to the world.

How to use in your project

  • 1.Use this research to justify using computer-aided text analysis for your own design project's market research or competitor analysis.
07

Add to My Project

08

Quick Cite

Paragraph starter

This study demonstrates the utility of computer-aided content analysis in quantifying online brand personality, suggesting that digital platforms can be systematically analyzed to understand communicated self-perceptions. This approach offers a reliable and efficient method for researchers and designers to assess brand positioning and inform strategic communication efforts.

09

Source

South African Journal of Business Management

Positioning in cyberspace: Evaluating bestselling authors’ online communicated brand personalities using computer-aided content analysis

journal · 2007

View source

Questions About This Research

What does the research say about digital brand personality: quantifying authorial self-presentation online?
Utilize computational text analysis tools to objectively assess and define brand personality in digital communication channels. Evidence: South African Journal of Business Management (2007).
Why does "Digital Brand Personality: Quantifying Authorial Self-Presentation Online" matter for design?
Understanding how individuals or brands present themselves online is crucial for effective marketing and stakeholder engagement. This method allows for objective measurement of communicated personality, informing strategies for brand building and differentiation in the digital space.
How can designers apply this research?
Utilize computational text analysis tools to objectively assess and define brand personality in digital communication channels.
What were the main findings?
Computer-aided content analysis can be a reliable method for assessing brand personality in online communications.. Website content can be used as a proxy for an author's self-communicated brand personality.
What research method was used?
Computer-aided content analysis and correspondence analysis..
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2007 journal from South African Journal of Business Management.
What should I do differently in my next project?
Employ software that performs sentiment analysis and keyword extraction on website text to identify recurring themes and personality descriptors.
What are the limitations?
The presumption that website content perfectly reflects an author's intended self-presentation may not always hold true; the study focused on bestselling authors, limiting generalizability to emerging authors.