In English, names are used as identifiers. They can have some convoluted meanings attached
to them (e.g., "Isabella" is the Spanish/Italian translation of
"God is my oath"), but for the most part, they simply serve as identifiers.
In Chinese, names are more than that. Not only are they personal identifiers,
but each name also means something that every Chinese person is aware of
because in Chinese, names are made up of words/characters.
An example of a Chinese name is: 马绍恩. The structure is [Family Name (马)]
[Given Name (绍恩)]. The family name is inherited from the patriarch of a family,
passed down through generations. It usually consists of a single character, but
a few consist of two.
The given name is chosen at birth as an individual’s personal identifier.
It can consist of one or two characters. Usually, if a name has two characters,
the second is the "generation name", which siblings of a family share,
(绍 in the example above). If a person's given name is only a single character,
it may indicate that they are an only child, but parents
might still give their only child a two-character name if they
prefer the meaning of it.
In the example name above, "马" means "horse", "绍" means "to continue/carry on",
and "恩" means "grace/kindness"; (these are family name, first character of given
name, and second character of given name respectively.)
This specific name was intended to have
Christian undertones, as the parents had just converted to
Christianity when their baby was born.
Because Chinese names have such meanings, naming requires great care.
Parents tend to want to give names with pleasant meanings, eliminating vulgar and negative words from
the naming vocabulary. Some parents even wish to bestow a “good” name because Chinese
superstition suggests that a name can determine one’s fate in life.
As such, names encode the wishes parents have for their children.
So, what are these wishes? To uncover more about this relationship,
we created the data visualizations below. We discovered that names and
their associated sentiments change depending on the gender of a newborn and
the historical period in which they were born.
This article showcases an overview of general trends in Chinese naming practices,
but by no means does it represent the general experience of the Chinese people.
When giving names to their newborn children, parents have an infinite amount of
combinations to choose from. When settling on that final name, they
have most likely selected something that embodies their unique and individual
experiences and, as a result, future hopes for their child. It is important to
keep in mind, then, that the history and
meanings shared below were experienced differently by each and every parent.
Before we dive into exploring Chinese names throughout modern history,
we must share a few important notes about our work.
The data represents only Han Chinese names from the People’s Republic of China
(Mainland China). The names are split into 6 cohorts: pre-1960, 1960s, 1970s,
1980s, 1990s, and 2000s. The pre-1960 names are of those who were alive at the time,
and after that, they are of all newborns in a given decade.
The data contains unique aspects of Mainland China’s historical context, events, and
culture, but naming practices in Taiwan, Hong Kong, Macau, Singapore, the Chinese Diaspora,
and non-Han ethnic groups in Mainland China are not reflected.
Additionally, we did some work to make the data more accessible.
First, we translated 500+ individual names by hand and catagorized them into themes.
Then, to verify validity, two members of our team cross-checked one another's translations and
categorization. Though every Chinese character is very rich in meaning and nuance, we did
our very best to convey them in English. We hope that the translations will be insightful
and interesting to you!
The characters of Chinese names were impacted by the historical contexts
during which they were given, and our first visualizations take a deeper look
at this relationship between history and given names.
First, we present a breakdown of historical periods in China from pre-1960s to the 2000s,
and break down the most important takeways of our main visualization for this section.
Then, we present that visualization with an accompanying caption describing how to
read and interact with it. (If you would like to see that visualization now, please click here. You can always scroll up
to read through the history after.)
The years before the 1960s were characterized by revolution, poverty, and instability.
If you were born during this period, you would have experienced the Boxer Rebellion of 1900, the
fall of China's
last imperial dynasty in 1911, the internal division and constant civil war of the Warlord Era
from 1912 to 1927, a partial unification by Nationalists in 1927, the creation of puppet
states in the northwest by Japan in 1931, and a brutal, full-scale invasian by Japan
that marked the start of World War II for China in 1937. After World War II ended,
you would have experienced the eruption of a civil war
between the Nationalists and the Communists, which saw the Communists win on the Mainland, pushing
the Nationalists to retreat to Taiwan. You would have also witnessed Mao Zedong (毛泽东) proclaim
the People's Republic in Tiananmen Square, bringing about the end of a civil war but a more
tumultuous future.
Under Mao, you would have experienced a series of collectivizing reforms,
but some, like the Great Leap Forward in 1958, led to a famine that ultimately killed
an estimated 15 to 55 million people from 1959 to 1961.
To say the people of China suffered greatly during this period would be an understatement.
In addition to the death and suffering caused by civil wars and external invasion,
China experienced 6 separate famines from 1900-1960.
The zeitgest of this era was very much a desire to see a better China as the one that parents
knew was desolate and riddled with hardship. As such, parents named their children in the hope that
they would grow up in and help build a more peaceful, stable, and prosperous China.
In 1961, the Great Chinese Famine ended, and Mao's leadership took a backseat
due to the failure of the Great Leap Forward. Political leaders Liu Shaoqi (刘少奇),
Deng Xiaoping (邓小平), and Premier Zhou Enlai (周恩来) laid a heavier hand in
directing the country, adopting more pragmatic and open economic policies.
Dissatisfied, Mao attempted to regain his preeminence by launching the Cultural Revolution
in 1966. This mass social movement aimed to reinstate Communism/Maoism as the dominant
ideology. A key idea of this movement was that the chaos and suffering
of previous decades could be attributed to the flaws and weaknesses of "tradition";
To strengthen the nation, the country must cast away the past, often violently,
and aggressively modernize into a Communist state.
As a result, names related to Communism, such those including the color red and those
related to military terminology, became rather popular during this era.
In the mid-1970s, Deng Xiaopeng brought about some limited economic reforms, but the
Cultural Revolution continued until the death of Mao in 1976. Afterwards came an
official repudiation of the Cultural Revolution and its ideals, as well as a
reduction of ideological fervor among the individuals of Mainland China.
In China, the 1980s was a decade of reform.
The collectivizing policies instituted in previous decades
were dismantled between 1979 and 1982. In 1985, private enterprises were
allowed to form.
The "One Child Policy" was just introduced in 1979, and its effects were most pertinent
in this decade and the decades after. As mentioned in the introduction, in Chinese names
with three characters, the second is the "generation name", with siblings of the same
generation sharing that same second character. The new policy meant that parents could
only have a single child, so many parents chose not to give a generation name, resulting in
the rise of single-character names.
Deng's economic reforms during the 1980s were fruitful, resulting in massive economic growth, stabilitym and prosperity for the people of Mainland China. As such, parents of this era were no longer as concerned with ideology and national stability; rather, they focused more on their child's well-being and future. This resulted in more names relating to "Intelligence", "Joy & Happiness", and "Family". A gradual improvement in gender attitudes can also be observed, as named relating to "Intelligence" saw a large increase for both genders.
Now that you've learned a condensed version of China's modern history
and its impact on naming, you can explore our main visualization below.
The popularity of each name per decade is encoded vertically, i.e. the name
at the very top was the most popular of that decade. A line connects a name between decades,
revealing the change in its popularity through time. Each name is labelled according to
its peak ranking.
Hover your mouse over the labels and lines to see a name's meaning on the right.
Finally, the colors represent the "theme" of the name.
Filter the themes by clicking on the colored squares on the right. Multiple themes
can be selected at once, and you can deselect a theme by clicking on it again.
As you explore the different themes, we implore you to consider how historical events or
gender biases may have impacted trends for popular names.
Finally, if you'd like to take a tour through our explanation of China's modern history
again, please click here.
As you've seen above, Chinese names have really changed since before the 1960s,
reflecting the zeitgest and gender attitudes of the times people have lived through.
Below is a visualization depicting what 50 most popular names from before 1960s are
still among the 50 most popular in the 2000s.
You can see that hardly any names continue to make through to the top 50 in the 2000s.
We have now seen that names can reveal information about the historical events parents have
experienced, but what else can we learn from names? Well, because Chinese names are
composed of real words, they can also teach us about the emotions they are meant to evoke.
Our data source
helps us with this, as it gives functions to calculate
three attributes/values that quantify certain feelings each character may evoke:
valence, warmth, and
competence. In the following visualization, we focus on the warmth and competence.
First, what are “warmth” and “competence”? According to a research paper titled, “Name Norms:
A Guide to Casting Your Next Experiment”, when meeting others for the first
time, people’s impressions are affected by two aspects: warmth and competence. Warmth can
be characterized by traits such as friendliness, honesty, kindness, sincerity, reliability, and morality.
Competence can be characterized by traits such as cleverness, carefulness, efficiency, creativity,
knowledgeability, persistence, and intelligence.
How, then, were these traits quantified and given values? The creators of the data source asked 10 Chinese
people (5 female) to rate Chinese names. They were given names of people, instructed to
imagine meeting them, and then asked to judge how likely they perceived this person as either warm or competent
on a scale from 1 (strongly unlikely) to
5 (strongly likely). These raters utilized their pre-existing
knowledge of the characters' connotations and their own intuition. As such, It is important to
note that these ratings are quite subjective.
Nonetheless, the following visualization explores what characters were most popular
from the 1950s to the
2000s in female and male given names in relation to warmth and competence. Are there any
relationships between names, gender, and warmth/competence? It turns out that regardless of
gender, the top 50 characters of each decade display above-average warmth and competence.
This may be because of names acting as manifestations of future hopes; as such,
a parent would never want to give any child a name that is vulgar.
Though average warmth of given characters among male and female newborns stayed
relatively similar throughout the decades, on average, characters given to males for their names
scored higher on competence. The gap increases for average competence between male and female
names in the 1990s and 2000s, displaying some biases towards gender, i.e. that parents had
higher hopes for the competence of male children.
Between the 1950s to 1980s, top female characters were generally related to beauty, red, and
flora, as we saw in our discussion above. Though these characters have high warmth values, in
the 1990s and 2000s, the average competence values of female characters increased. We see
more characters such as 敏 (min3 | warmth: 3.7;
competence: 3.9; translation: fast; quick; clever; smart | 11th in 1990s), 欣
(xin1 | warmth: 3.5 | competence: 3.4 | translation: happy; joyous; delighted | 3rd in 2000s), and
慧 (hui4 | warmth: 4 | competence: 4.2 | translation: bright; intelligent | 7th in 2000s).
This change can be explained by the more positive feelings of the 1990s and 2000s, also discussed above, as
this era saw an increase of popular names relating to "Joy & Happiness",
"Family", and "Intelligence".
Such increase in competence values is also seen with male characters during
the same time. In the 1950s and 1970s, top male characters covered a wide range of
themes including “Nation” and “Wealth”. In the 1990s and 2000s, there is an increase of
characters with both higher warmth and competence, such as 杰
(jie2 | warmth: 3.9 | competence: 4.3 | translation: hero; heroic; outstanding |
7th in 1990s), 泽 (ze2 |
warmth: 3.8 | competence: 3.9 | translation: grace; brilliance | 17th in 2000s),
and 嘉 (jia1 | warmth: 4.3 | competence: 3.8 | translation: excellent; joyful; auspicious |
18th in 2000s).
Though both genders’ characters have above-average warmth and competence,
certain characters only appear in
either female or male names because Chinese words are
often characterized as more feminine (e.g., flower-related words) or
masculine (e.g., military-related words.) Words in Latin-based languages (Spanish, French, etc.),
have genders, too.
Finally, we were curious about whether names that were less popular really had lower
warmth/competence. To explore this, we handpicked 12 characters that match this
requirement and are among the top 50 most popular characters of any decade. Toggle the
checkbox below to explore their meanings and ratings!
Now that you've learned a decent amount of information regarding Chinese names,
we want to give you a chance to individually track a character/name you might be interested in
throughout history. You can enter in a character in your own name or a name you know, but we've
also provided some celebrity
names below that you can copy-and-paste if you are not familiar with Chinese. Please remember
to copy and paste a single character only!
The initial input of the visualization is the character, 英 (ying1), which means "petal/flower/leaf/brave/hero."
This name has exponentially decreased in parts per million since the 1960s.
(Parts per million is just the normalized value/absolute number of how many people
have the character in their name; you can think of it as similar to popularity, but not the exact same.)
OR
A person’s Chinese name can reveal a lot of information about what their parents experienced as their nation navigated through history.
As such, a name is not simply a name. Rather, it is a culmination of not only a nation's history, but also one's familial history
composed of experiences spanning hundreds of years and generations,
...but for something that spans populations and eras, it is also something small in scale, something deeply personal, individual, and unique to someone's lived experience.
It is someone's life, someone's values, someone's hopes and aspirations, all bestowed upon someone they have newly brought into the world, and whom they love dearly.
This is a Chinese name.
Introduction
Our group consists of 4 members who all have Han Chinese heritage, so looking through the
dataset, we understood the definitions of isolated characters and wondered why our parents named
us the way they did. More generally, we wondered: “What influences a Chinese name?”
One obvious answer was gender, a deciding factor in most cultures. Other
potential influences included history and parents’ wishes for their children, i.e.
naming a child a word meaning “smart” might mean that they wanted their child to grow up smarter.
We realized that Chinese names are rich with meaning and information, so we were
eager to learn more about the people of Mainland China, the times they lived through, and their hopes for
the future, all through the names they gave their children.
Related Work
We found found an article, “What can we tell from the evolution
of Han Chinese names?”, that gave us an initial understanding of
modern history in China and Han Chinese Names.
Finally, we also learned more about modern Chinese history from this source by the University of Washington.
Methodology
The dataset consists of Chinese surnames and given names separated into 6
time periods: pre-1960s, 1960s, 1970s, 1980s, 1990s, and 2000s. It contains
nationwide frequency statistics of 1,806 Chinese surnames and 2,614 Chinese characters used
in given names, covering about 1.2 billion Han Chinese people. We focus on given
names, specifically, the top 100 given names per decade (first visualization)
and the top 50 most popular characters in any given name decade (all other
visualizations). This data source also has information on qualities of Chinese names, such as
warmth and competence, which we used in our third visualization.
The data was already cleaned, but we wanted to find English translations for
characters and discovered an API.
Since Chinese names have more nuance and meaning than the API could provide,
for the top 100 given names per decade used in our first visualization, Brian and Yu-Ying,
who are native Mandarin speakers, translated 500+ characters by hand and categorized them by theme.
We utilized prior knowledge of JS to upload data, and we coded
the visualizations ourselves, taking inspiration from our motivations
and class lectures, but not existing algorithms.
Design
For our first visualization, we encoded decade as horizontal positioning
and the ranking of the given name as vertical positioning, giving the viewer a lot of
information effectively. Because the chart is complex, encoding themes of meanings as color can
help the user see more general trends, which is vital to connecting it with historical context.
Hovering over each name shows the user its meaning; including each meaning in the main
visualization itself would have been far too overwhelming. We originally did not have a way to
filter the themes and did not break down the visualization/highlight important takeaways, but these
new features made the visualization more understandable, digestible, and interactive.
For our second visualization, we encoded the gender proportion of the name as color
and space.
For our third visualization, we again encoded gender as color and used dots to encode both the
average warmth and competence values of each character at once. Including a
line of the averages of both metrics offers a baseline for comparison.
Offering more information on hover helps uncrowd the visualization, and giving the user
customizability of all inputs encourages exploration.
For our final visualization, we highlighted important time periods and
labelled them, making it easy for users to see what periods may have affected the name they
selected. The visualization is interactive, giving users two different methods for searching up
characters in order to cater to both non-Chinese speakers as well.
Implementation
As mentioned above, we used an API we found online and hand-translations by team
members to translate the Chinese characters in the dataset to appropriate English definitions.
We coded a parser in Python
to automate the translation process and made a JSON mapping of translations.
For loading data, we used JavaScript; this is in the beginning of our “script.js” file.
Specifically, we have JavaScript “Promises” that fetches from some URLs stored in GitHub pages.
Click here for an example.
Finally, for the visualizations, we originally built them in an Observable Notebook using D3,
but we switched over to HTML, CSS, and JavaScript (Vanilla JS) as we preferred the aesthetics of
our own website. All code is our own, and there are no performance issues that we are aware of.
Discussion
We believe that our final design is quite successful! Many students came up
to us during and after class to compliment our work, especially Chinese and Chinese Americans who relate to the contents of our work.
In the end, we created visualizations that answered our initial
questions, satisfied our motivations, and interwove Chinese names with the influences of modern Chinese history.
We believe there is little-to-no confusion for our final visualizations. We received
feedback from previous class sessions that we implemented to curb confusion,
i.e. our first visualization was originally condensed/hard-to-follow, but we expanded it and
added features to make it easier to read. Some viewers were also initially
confused by our second visualization and its main takeaway, but with
accompanying captions/text, we hope that this provided more clarity.
Finally, we gleaned insight into the impact of history on the identity and
experience of Chinese people. Though we have each heard much about the Cultural Revolution as an
event, these visualizations have helped us personalize and individualize historical
experiences. Moreover, we learned about the prevalences of our own names, and we believe that
other Chinese viewers will feel the same way. For our wider
audience, we give an overview of Chinese history, which is often overlooked in
American schools. Hopefully, our work piqued their interest in cultures vastly different from theirs.
Future Work
Regarding research, in addition to the general events,
we want to research gender history and social history more in-depth.
For our second visualization, we want to create an accompanying visualization that
shows the top 50 characters per decade based on which decade was selected, rather than only
tracking the survivability of pre-1960s names.
For our last visualization, we want to allow the user to input multiple characters
and compare trends of all those selected side-by-side. We also want to make the celebrity
names clickable and include more history regarding each celebrity’s name.
Finally, we would like to conduct more user tests with people not in our class to
get opinions from those who may not be as familiar with our work. (Monica was only able to
test with one person outside of class.)
Acknowledgements & References
Page Layout & Design: Monica
Page Data Loading & Python Parser: Jeffrey
Translation & Catagorisation: Brian & Yu-Ying
Introduction and Historical Write-Up: Brian & Monica
Editing, Proofreading, (Brief) User Testing, & Final Write-Up: Monica
Visualization #1: Top 100 Name Ranking & Themes: Brian
Visualization #2: Condensing Historical Trends: Jeffrey
Visualization #3: Warmth & Competence and Gender Attitudes: Yu-Ying
Visualization #4: Modern History of Your Name: Yu-Ying